Evidence map›Paper›PMID 28659143›Full record

ArticleBMC health services research2017

Explaining time elapsed prior to cancer diagnosis: patients' perspectives.

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

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  12. Patient experiences of the urgent cancer referral pathway-Can the NHS do better? Semi-structured interviews with patients with upper gastrointestinal cancer.Health expectations : an international journal of public participation in health care and health policy · 2020
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  14. Co-construction of health technology assessment recommendations with patients: An example with cardiac defibrillator replacement.Health expectations : an international journal of public participation in health care and health policy · 2020
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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

8 authors.

Astrid BrousselleDépartement des Sciences de la Santé Communautaire, Centre de recherche - Hôpital Charles-Le Moyne, Université de Sherbrooke, 150 Place Charles LeMoyne bureau 200, Longueuil, Quebec, Canada. Astrid.brousselle@usherbrooke.ca.
Mylaine BretonDépartement des Sciences de la Santé Communautaire, Centre de recherche - Hôpital Charles-Le Moyne, Université de Sherbrooke, 150 Place Charles LeMoyne bureau 200, Longueuil, Quebec, Canada.
Lynda BenhadjUniversité de Sherbrooke, Longueuil, Quebec, Canada.
Dominique TremblayÉcole des Sciences Infirmières, Centre de recherche - Hôpital Charles-Le Moyne, Université de Sherbrooke, Longueuil, Quebec, Canada.
Sylvie ProvostDirection de Santé Publique de Montréal, Institut de Recherche en Santé Publique de l'Université de Montréal, Montreal, Quebec, Canada.
Danièle RobergeDépartement des Sciences de la Santé Communautaire, Centre de recherche - Hôpital Charles-Le Moyne, Université de Sherbrooke, 150 Place Charles LeMoyne bureau 200, Longueuil, Quebec, Canada.
Raynald PineaultDirection de Santé Publique de Montréal, Institut de Recherche en Santé Publique de l'Université de Montréal, Montreal, Quebec, Canada.
Pierre TousignantDirection de Santé Publique de Montréal, McGill University Health Centre, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer 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.

methodsThis 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.

resultsPre-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.

conclusionsThis 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.

Indexed as

Delayed DiagnosisEarly Detection of CancerBreast NeoplasmsColorectal NeoplasmsDelivery of Health CareFemaleHumansLung NeoplasmsMaleModels, TheoreticalNational Health ProgramsNeoplasmsQuality of LifeQuebecTime FactorsCancerEarly diagnosisPrimary care

Identifiers

PMID28659143
PMCPMC5490154

What OpenQuestion holds

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LicenceCC BY
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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.