Evidence map›Paper›PMID 27903566›Full record

Observational studyBMJ open2016

Improving access and continuity of care for homeless people: how could general practitioners effectively contribute? Results from a mixed study.

Maeva Jego, Dominique Grassineau, Hubert Balique, Anderson Loundou, Roland Sambuc, Alexandre Daguzan, Gaetan Gentile, Stéphanie Gentile

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Improving Health Care Management in Primary Care for Homeless People: A Literature Review.International journal of environmental research and public health · 2018
    Review
  9. The Medical Treatment of Homeless People.Deutsches Arzteblatt international · 2017
    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.

Maeva JegoEA 3279 Research Unit-Public Health, Chronic Diseases and Quality of Life, Aix-Marseille University, Marseille, France.ORCID 0000-0003-3324-256X
Dominique GrassineauPASS, Department of Public Health, Timone University Hospital, APHM, Marseille, France.
Hubert BaliqueEA 3279 Research Unit-Public Health, Chronic Diseases and Quality of Life, Aix-Marseille University, Marseille, France.
Anderson LoundouEA 3279 Research Unit-Public Health, Chronic Diseases and Quality of Life, Aix-Marseille University, Marseille, France.
Roland SambucEA 3279 Research Unit-Public Health, Chronic Diseases and Quality of Life, Aix-Marseille University, Marseille, France.
Alexandre DaguzanMedical Evaluation Unit, Department of Public Health, Conception University Hospital, APHM, Marseille, France.
Gaetan GentileDepartment of General Practice, Aix-Marseille University, Marseille, France.
Stéphanie GentileEA 3279 Research Unit-Public Health, Chronic Diseases and Quality of Life, Aix-Marseille University, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse the views of general practitioners (GPs) about how they can provide care to homeless people (HP) and to explore which measures could influence their views.

designMixed-methods design (qualitative -> quantitative (cross-sectional observational) → qualitative). Qualitative data were collected through semistructured interviews and through questionnaires with closed questions. Quantitative data were analysed with descriptive statistical analyses on SPPS; a content analysis was applied on qualitative data.

settingPrimary care; views of urban GPs working in a deprived area in Marseille were explored by questionnaires and/or semistructured interview.

participants19 GPs involved in HP's healthcare were recruited for phase 1 (qualitative); for phase 2 (quantitative), 150 GPs who provide routine healthcare ('standard' GPs) were randomised, 144 met the inclusion criteria and 105 responded to the questionnaire; for phase 3 (qualitative), data were explored on 14 'standard' GPs.

resultsIn the quantitative phase, 79% of the 105 GPs already treated HP. Most of the difficulties they encountered while treating HP concerned social matters (mean level of perceived difficulties=3.95/5, IC 95 (3.74 to 4.17)), lack of medical information (mn=3.78/5, IC 95 (3.55 to 4.01)) patient's compliance (mn=3.67/5, IC 95 (3.45 to 3.89)), loneliness in practice (mn=3.45/5, IC 95 (3.18 to 3.72)) and time required for the doctor (mn=3.25, IC 95 (3 to 3.5)). From qualitative analysis we understood that maintaining a stable follow-up was a major condition for GPs to contribute effectively to the care of HP. Acting on health system organisation, developing a medical and psychosocial approach with closer relation with social workers and enhancing the collaboration between tailored and non-tailored programmes were also other key answers.

conclusionsIf we adapt the conditions of GPs practice, they could contribute to the improvement of HP's health. These results will enable the construction of a new model of primary care organisation aiming to improve access to healthcare for HP.

Indexed as

General PractitionersIll-Housed PersonsPrimary Health CareAttitude of Health PersonnelContinuity of Patient CareCross-Sectional StudiesFemaleFranceHumansMalePhysician-Patient RelationsQualitative ResearchSurveys and Questionnairesaccess to health caregeneral practitionershomeless peoplemixed methodsPRIMARY CARE

Identifiers

PMID27903566
PMCPMC5168510

What OpenQuestion holds

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LicenceCC BY-NC
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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.