Evidence map›Paper›PMID 25005597›Full record

Trial reportBMJ open2014

A randomised trial deploying a simulation to investigate the impact of hospital discharge letters on patient care in general practice.

Moyez Jiwa, Xingqiong Meng, Carolyn O'Shea, Parker Magin, Ann Dadich, Vinita Pillai

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Moyez JiwaDepartment of Medical Education, Curtin University, Perth, Western Australia, Australia.
Xingqiong MengFaculty of Health Science, School of Public Health, Curtin University, Perth, Western Australia, Australia.
Carolyn O'SheaCurtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia.
Parker MaginDiscipline of General Practice, University of Newcastle, Newcastle, New South Wales, Australia.
Ann DadichSchool of Business, University of Western Sydney, Parramatta, New South Wales, Australia.
Vinita PillaiDepartment of Medical Education, Curtin University, Perth, Western Australia, Australia.
Curtin University · AUUniversity of Newcastle Australia · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine how the timing and length of hospital discharge letters impact on the number of ongoing patient problems identified by general practitioners (GPs). TRIAL

designGPs were randomised into four groups. Each viewed a video monologue of an actor-patient as he might present to his GP following a hospital admission with 10 problems. GPs were provided with a medical record as well as a long or short discharge letter, which was available when the video was viewed or 1 week later. GPs indicated if they would prescribe, refer or order tests for the patient's problems.

methodsSetting Primary care. Participants Practising Australian GPs. Intervention A short or long hospital discharge letter enumerating patient problems. Outcome measure Number of ongoing patient problems out of 10 identified for management by the GPs. Randomisation 1:1 randomisation. Blinding (masking) Single-blind.

resultsNumbers randomised 59 GPs. Recruitment GPs were recruited from a network of 102 GPs across Australia. Numbers analysed 59 GPs. Outcome GPs who received the long letter immediately were more satisfied with this information (p<0.001). Those who received the letter immediately identified significantly more health problems (p=0.001). GPs who received a short, delayed discharge letter were less satisfied than those who received a longer delayed letter (p=0.03); however, both groups who received the delayed letter identified a similar number of health problems. GPs who were older, who practised in an inner regional area or who offered more patient sessions per week identified fewer health problems (p values <0.01, <0.05 and <0.05, respectively). Harms Nil.

conclusionsReceiving information during patient consultation, as well as GP characteristics, influences the number of patient problems addressed. TRIAL REGISTRATION NUMBER: ACTRN12614000403639.

Indexed as

General PracticeMedical RecordsPatient CarePatient DischargePatient SimulationAdultAgedFemaleHumansMaleMiddle AgedSingle-Blind MethodPRIMARY CARE

Identifiers

PMID25005597
PMCPMC4091507
OpenAlexW1971705652

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.