Evidence map›Paper›PMID 38365431›Full record

ArticleBMJ open quality2024

Quality of locally designed surveys in a quality improvement collaborative: review of survey validity and identification of common errors.

Julie E Reed, Julie K Johnson, Robert Zanni, Randy Messier, Fadi Asfour, Marjorie M Godfrey

Abstract read
In one paragraph

Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Julie E ReedJulie Reed Consultancy Ltd, London, UK.ORCID 0000-0002-9974-2017
Julie K JohnsonNorthwestern Quality Improvement, Research, and Education in Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Robert ZanniRobert Wood Johnson Barnabas Health Medical Group, Monmouth Medical Center, Long Branch, New Jersey, USA.
Randy MessierUniversity of New Hampshire, Durham, New Hampshire, USA.
Fadi AsfourUTHSC, Utah, Utah, USA.
Marjorie M GodfreyUniversity of New Hampshire, Durham, New Hampshire, USA margiegodfrey@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurveys are a commonly used tool in quality improvement (QI) projects, but little is known about the standards to which they are designed and applied. We aimed to investigate the quality of surveys used within a QI collaborative, and to characterise the common errors made in survey design.

methodsFive reviewers (two research methodology and QI, three clinical and QI experts) independently assessed 20 surveys, comprising 250 survey items, that were developed in a North American cystic fibrosis lung transplant transition collaborative. Content Validity Index (CVI) scores were calculated for each survey. Reviewer consensus discussions decided an overall quality assessment for each survey and survey item (analysed using descriptive statistics) and explored the rationale for scoring (using qualitative thematic analysis).

results3/20 surveys scored as high quality (CVI >80%). 19% (n=47) of survey items were recommended by the reviewers, with 35% (n=87) requiring improvements, and 46% (n=116) not recommended. Quality assessment criteria were agreed upon. Types of common errors identified included the ethics and appropriateness of questions and survey format; usefulness of survey items to inform learning or lead to action, and methodological issues with survey questions, survey response options; and overall survey design.

conclusionSurvey development is a task that requires careful consideration, time and expertise. QI teams should consider whether a survey is the most appropriate form for capturing information during the improvement process. There is a need to educate and support QI teams to adhere to good practice and avoid common errors, thereby increasing the value of surveys for evaluation and QI. The methodology, quality assessment criteria and common errors described in this paper can provide a useful resource for this purpose.

Indexed as

Cystic FibrosisQuality ImprovementHumansResearch DesignSurveys and Questionnairescollaborative, breakthrough groupshealthcare quality improvementquality improvement methodologiessurveys

Identifiers

PMID38365431
PMCPMC10875491

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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.