Evidence map›Paper›PMID 24879826›Full record

ArticleBMJ open2014

Patient evaluation of hospital outcomes: an analysis of open-ended comments from extreme clusters in a national survey.

Hilde Hestad Iversen, Oyvind Andresen Bjertnæs, Kjersti Eeg Skudal

Abstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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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

3 authors.

Hilde Hestad IversenDepartment for Quality and Patient Safety, Norwegian Knowledge Centre for the Health Services, Oslo, Norway.
Oyvind Andresen BjertnæsDepartment for Quality and Patient Safety, Norwegian Knowledge Centre for the Health Services, Oslo, Norway.
Kjersti Eeg SkudalDepartment for Quality and Patient Safety, Norwegian Knowledge Centre for the Health Services, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA recent study identified patients in six distinct response groups based on their evaluations of outcomes related to overall satisfaction, malpractice and benefit of treatment. This study validates the response clusters by analysing and comparing open-ended comments from the extreme positive and extreme negative response groups.

designQualitative content analysis.

settingData from open-ended comment fields provided by patients who completed a national patient-experience survey carried out in Norway in 2011. 10 514 patients responded to the questionnaire and 3233 provided comments. A random sample of 50 open-ended comments from respondents representing cluster 1 ('excellent services'), cluster 5 ('services have clear improvement needs') and outliers ('very poor services') was reviewed.

results3 distinct patient profiles were identified. More than half of the comments in cluster 1 included descriptions of positive healthcare experiences, one addressed patient safety issues. Only 1 of the comments in cluster 5 was positive, and 12 were related to safety. All comments from the outliers were negative, and more than three-quarters reported experiences related to malpractice or adverse events. Recurring themes did not differ significantly between the three respondent groups, but significant differences were found for the descriptions and severity of the experiences.

conclusionsPatients in negative response groups had distinct and much poorer healthcare descriptions than those in the extreme positive group, supporting the interpretation of quality differences between these groups. Further research should assess ways of combining statistical cluster information and qualitative comments, which could be used for local quality improvement and public reporting.

Indexed as

Patient SatisfactionQuality of Health CareCluster AnalysisFemaleHospitalsHumansMaleMiddle AgedNorwaySurveys and QuestionnairesPatient satisfactionQUALITATIVE RESEARCHQuestionnaire

Identifiers

PMID24879826
PMCPMC4039827

What OpenQuestion holds

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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.