Evidence map›Paper›PMID 40718890›Full record

ReviewPerspectives in clinical research

Crafting an effective questionnaire: An essential prerequisite of engaging surveys.

Hunny Sharma, Manisha Ruikar

Abstract readReview
In one paragraph

Review in Perspectives in clinical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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

7 citing papers in PubMed.

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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

2 authors.

Hunny SharmaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Manisha RuikarDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Questionnaires play a crucial role in biomedical research, enabling valuable data collection from individuals. However, the effectiveness of a questionnaire depends on its ability to engage respondents and gather accurate information. This manuscript delves into the intricacies of crafting an effective questionnaire, exploring the essential elements that contribute to their success and impact, and highlights the need for well-crafted questionnaires in biomedical research emphasizing the importance of maximizing respondent engagement, obtaining reliable data, enhancing data completeness, minimizing nonresponse rates and bias, and facilitating data analysis. The article further sheds light on the factors influencing questionnaire effectiveness, including clear and concise language, logical flow and structure, relevance and significance, avoidance of double-barreled and leading questions, and using balanced response options and skip questions. This narrative review examines how each factor contributes to questionnaire quality and offers examples to illustrate their importance. Moreover, it emphasizes the significance of investing time and effort in designing effective questionnaires to ensure the validity and success of biomedical research. By understanding the art of engaging surveys, researchers can optimize their data collection processes and enhance the reliability and validity of their findings.

Indexed as

Biomedical researchdata collectionhealth surveysreproducibility of resultsresearchersurveys and questionnaires

Identifiers

PMID40718890
PMCPMC12288916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.