Premium
The length of patient and primary care time interval in the pathways to treatment in symptomatic oral cancer. A quantitative systematic review
Author(s) -
VarelaCentelles P.,
Seoane J.,
LopezCedrun J.L.,
FernandezSanroman J.,
GarcíaMartin J.M.,
Takkouche B.,
AlvarezNovoa P.,
SeoaneRomero J.M.
Publication year - 2018
Publication title -
clinical otolaryngology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.914
H-Index - 68
eISSN - 1749-4486
pISSN - 1749-4478
DOI - 10.1111/coa.12919
Subject(s) - medicine , confidence interval , normality , cancer , sample size determination , basal cell , primary care , psychological intervention , pediatrics , family medicine , statistics , mathematics , psychiatry
Objectives To examine the relative length of the patient and primary care intervals in symptomatic oral cancer. Design Quantitative systematic review. Search strategy: Oral cancer OR oral squamous cell carcinoma OR oropharyngeal cancer AND time interval OR diagnostic delay. Setting Primary and secondary care. Participants Oral and oropharyngeal cancer patients. Main outcome measures We computed five measures (patient, primary care, diagnosis, total diagnosis and total treatment intervals). Most studies did not provide any dispersion measure. We then used the sample size of each study to compute a weighted average of the mean intervals. When the median was provided, we assumed normality of the distribution of the means and used the median as a proxy of the mean. Results A total of 1089 articles were identified, and 22 met the inclusion criteria, reporting on 2710 patients from Europe, USA , India, Australia, Japan, Argentina and Iran. The weighted average of patient interval was 80.3 days. Primary care interval was five times shorter: 15.8 days. The diagnostic interval was appreciably shorter (47.9 days) when compared with the patient interval during symptomatic period. Conclusions Patient interval represents the major component of waiting times since the detection of the first signs/symptoms to the definitive diagnosis of oral cancer. Thus, strategies focused on high‐risk patients should be prioritised. Interventions aimed at optimising the health systems should be implemented by monitoring and facilitating diagnostic and treatment pathways of patients with oral cancer.