Evidence map›Paper›PMID 31772109›Full record

ArticleBMJ open2019

Healthcare Complaints Analysis Tool: reliability testing on a sample of Danish patient compensation claims.

Soren Bie Bogh, Jonas Harder Kerring, Katrine Prisak Jakobsen, Camilla Hagemann Hilsøe, Kim Mikkelsen, Søren Fryd Birkeland

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  14. An analysis of complaints about hospital care in the Republic of Ireland.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2022
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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

6 authors at 2 institutions in 2 countries.

Soren Bie BoghOPEN, Odense University Hospital, Odense, Denmark soren.bie.bogh@rsyd.dk.ORCID 0000-0002-6207-0501
Jonas Harder KerringOPEN, Odense University Hospital, Odense, Denmark.
Katrine Prisak JakobsenOPEN, Odense University Hospital, Odense, Denmark.
Camilla Hagemann HilsøeDepartment for Quality and Research, Vejle, Region of Southern Denmark, Denmark.
Kim MikkelsenPatient Injury Prevention and Learning, Patient Insurance Association, Copenhagen, Denmark.
Søren Fryd BirkelandOPEN, Odense University Hospital, Odense, Denmark.
Odense University Hospital · DKRegion of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aim was to test the intra-assessor and interassessor reliability of the Healthcare Complaints Analysis Tool (HCAT) for categorising the information in the claim letters in a sample of Danish patient compensation claims. DESIGN, SETTING AND

participantsWe used a random sample of 140 compensation cases completed by the Danish Patient Compensation Association that were filed in the field of acute medicine at Danish hospitals from 2007 to 2018. Four assessors were trained in using the HCAT manual before assessing the claim letters independently.

main outcome measuresIntra-assessor and interassessor reliability was tested at domain, problem category and subcategory levels of the HCAT. We also investigated the reliability of ratings on the level of harm and of the descriptive details contained in the claim letters.

resultsThe HCAT was reliable for identifying problem categories, with reliability scores ranging from 0.55 to 0.99. Reliability was lower when coding the 'severity' of the problem. Interassessor reliability was generally lower than intra-assessor reliability. The categories of 'quality' and 'safety' were the least reliable of the seven HCAT problem categories. Reliability at the subcategory level was generally satisfactory, with only a few subcategories having poor reliability. Reliability was at least moderate when coding the stage of care, the complainant and the staff group involved. However, the coding of 'level of harm' was found to be unreliable (intrareliability 0.06; inter-reliability 0.29).

conclusionOverall, HCAT was found to be a reliable tool for categorising problem types in patient compensation claims.

Indexed as

Compensation and RedressPatient SafetyDenmarkFemaleHealth Services ResearchHumansLinear ModelsMaleReproducibility of ResultsSafety ManagementTotal Quality ManagementAcute carehealthcare complaintsHealth service researchpatient safetyreliability

Identifiers

PMID31772109
PMCPMC6887041
OpenAlexW2990514155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.