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Explaining time elapsed prior to cancer diagnosis: patients’ perspectives

Overview of attention for article published in BMC Health Services Research, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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2 policy sources
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1 X user

Citations

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22 Dimensions

Readers on

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81 Mendeley
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Title
Explaining time elapsed prior to cancer diagnosis: patients’ perspectives
Published in
BMC Health Services Research, June 2017
DOI 10.1186/s12913-017-2390-1
Pubmed ID
Authors

Astrid Brousselle, Mylaine Breton, Lynda Benhadj, Dominique Tremblay, Sylvie Provost, Danièle Roberge, Raynald Pineault, Pierre Tousignant

Abstract

Cancer is the leading cause of death in Canada. Early cancer diagnosis could improve patients' prognosis and quality of life. This study aimed to analyze the factors influencing elapsed time between the first help-seeking trigger and cancer diagnosis with respect to the three most common and deadliest cancer types: lung, breast, and colorectal. This paper presents the qualitative component of a larger project based on a sequential explanatory design. Twenty-two patients diagnosed were interviewed, between 2011 to 2013, in oncology clinics of four hospitals in the two most populous regions in Quebec (Canada). Transcripts were analyzed using the Model of Pathways to Treatment. Pre-diagnosis elapsed time and phases are difficult to appraise precisely and vary according to cancer sites and symptoms specificity. This observation makes the Model of Pathways to Treatment challenging to use to analyze patients' experiences. Analyses identified factors contributing to elapsed time that are linked to type of cancer, to patients, and to health system organization. This research allowed us to identify avenues for reducing the intervals between first symptoms and cancer diagnosis. The existence of inequities in access to diagnostic services, even in a universal healthcare system, was highlighted.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Other 11 14%
Researcher 8 10%
Student > Bachelor 6 7%
Student > Ph. D. Student 5 6%
Other 10 12%
Unknown 28 35%
Readers by discipline Count As %
Medicine and Dentistry 20 25%
Nursing and Health Professions 16 20%
Psychology 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Social Sciences 2 2%
Other 8 10%
Unknown 30 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2020.
All research outputs
#4,545,433
of 22,925,760 outputs
Outputs from BMC Health Services Research
#2,140
of 7,677 outputs
Outputs of similar age
#80,237
of 315,134 outputs
Outputs of similar age from BMC Health Services Research
#58
of 141 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,677 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.