Evidence map›Paper›PMID 34220984›Full record

ArticleJournal of otology2021

Development of otology specific outcome measure: Ear Outcome Survey-16 (EOS-16).

Juha T Laakso, Juha Silvola, Timo Hirvonen, Samuli Suutarla, Ilkka Kivekäs, Riitta Saarinen, Lotta Haavisto, Jaakko Laitakari, Antti A Aarnisalo, Aarno Dietz and 3 more

Abstract read
In one paragraph

Article in Journal of otology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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  3. Article
  4. Article
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  6. Digital otoscopy in remote consultations.Laryngoscope investigative otolaryngology · 2024
    Article
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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

13 authors.

Juha T LaaksoDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Juha SilvolaDepartment of Ear, Nose, and Throat - Division of Surgery, Akershus University Hospital, Lørenskog, Norway.
Timo HirvonenDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Samuli SuutarlaDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Ilkka KivekäsDepartment of Otorhinolaryngology - Head and Neck Surgery, Tampere University Hospital and Tampere University, Tampere, Finland.
Riitta SaarinenDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Lotta HaavistoDepartment of Otorhinolaryngology - Head and Neck Surgery, Turku University Hospital and University of Turku, Turku, Finland.
Jaakko LaitakariDepartment of Otorhinolaryngology - Head and Neck Surgery, Oulu University Hospital and PEDEGO Research Unit, University of Oulu and Medical Research Center Oulu, Finland.
Antti A AarnisaloDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Aarno DietzDepartment of Otorhinolaryngology - Head and Neck Surgery, Kuopio University Hospital and University of Kuopio, Kuopio, Finland.
Jussi JeroDepartment of Otorhinolaryngology - Head and Neck Surgery, Turku University Hospital and University of Turku, Turku, Finland.
Maija HytönenDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Saku T SinkkonenDepartment of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn important outcome measure of patient care is the impact on the patient's health-related quality of life (HRQoL). Current ear-specific HRQoL instruments are designed for one diagnosis and emphasize different subdivisions such as symptoms, hearing problems, psychosocial impact, and the need for care. The optimal length of the recall period has not been studied. For these reasons, a new survey is needed that would cover most chronic ear diseases.

methodsA preliminary 24-item survey (EOS-24) was created. Untreated adult patients (included n = 186) with one of seven different chronic otologic conditions from all university hospitals in Finland were recruited to respond to EOS-24 and the 15D general HRQoL instrument. The recruiting otologists evaluated the severity of the disease and the disability caused by it. A control group was recruited. Based on the patients' responses in different diagnosis groups, the items were reduced according to pre-defined criteria. The resulting survey was validated using a thorough statistical analysis.

resultsThe relevance and necessity of the original 24 items were thoroughly investigated, leading to the exclusion of 8 items and the modification of 1. The remaining 16 items were well-balanced between subdivisions and were useful in all seven diagnosis groups, thus constituting the final instrument, EOS-16. The most suitable recall period was three months.

conclusionsEOS-16 has been created according to the HRQoL survey guidelines with a versatile nationwide patient population. The survey has been validated and can be used for a wide range of chronic ear diseases as a HRQoL instrument.

Indexed as

Chronic ear diseasesHealth-related quality of lifeHRQoLOtologyPROM

Identifiers

PMID34220984
PMCPMC8241709

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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.