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1.
Cancers (Basel) ; 15(5)2023 Feb 25.
Article in English | MEDLINE | ID: mdl-36900257

ABSTRACT

The Coronavirus disease 2019 (COVID-19) outbreak impacted health care. We investigated its impact on the time to referral and diagnosis for symptomatic cancer patients in The Netherlands. We performed a national retrospective cohort study utilizing primary care records linked to The Netherlands Cancer Registry. For patients with symptomatic colorectal, lung, breast, or melanoma cancer, we manually explored free and coded texts to determine the durations of the primary care (IPC) and secondary care (ISC) diagnostic intervals during the first COVID-19 wave and pre-COVID-19. We found that the median IPC duration increased for colorectal cancer from 5 days (Interquartile Range (IQR) 1-29 days) pre-COVID-19 to 44 days (IQR 6-230, p < 0.01) during the first COVID-19 wave, and for lung cancer, the duration increased from 15 days (IQR) 3-47) to 41 days (IQR 7-102, p < 0.01). For breast cancer and melanoma, the change in IPC duration was negligible. The median ISC duration only increased for breast cancer, from 3 (IQR 2-7) to 6 days (IQR 3-9, p < 0.01). For colorectal cancer, lung cancer, and melanoma, the median ISC durations were 17.5 (IQR (9-52), 18 (IQR 7-40), and 9 (IQR 3-44) days, respectively, similar to pre-COVID-19 results. In conclusion, for colorectal and lung cancer, the time to primary care referral was substantially prolonged during the first COVID-19 wave. In such crises, targeted primary care support is needed to maintain effective cancer diagnosis.

2.
Ann Fam Med ; 17(5): 419-427, 2019 09.
Article in English | MEDLINE | ID: mdl-31501203

ABSTRACT

PURPOSE: An optimal diagnostic process in primary care is pivotal for reducing cancer-related disease burden. This study aims to explore reasons for long times to referral for Dutch colorectal cancer (CRC) patients in primary care. METHODS: A retrospective cohort study of anonymized free-text primary care records from the Julius General Practitioners' Network database, linked to the Netherlands Cancer Registry. Patients with a confirmed CRC diagnosis from 2007 through 2011 that symptomatically presented in primary care were included. Median time and interquartile ranges from presentation in primary care to referral were calculated for multiple patient and presentation characteristics. Associations of these characteristics with long time to referral (75th percentile was ≥59 days) were examined with log-binomial regression analyses. Routes to referral of patients with the longest times to referral were explored using thematic free-text analyses (90th percentile at ≥219 days). RESULTS: Among the 309 people with CRC, patients who were female, did not have a registered family history, had a history of malignancy, lacked alarm symptoms at presentation, or had hemorrhoids at physical examination were at risk for longer time to referral in univariable analyses (longer median durations and/or univariable association with the 75th percentile). Only presentation without alarm symptoms showed a statistically significant association with long duration (75th percentile) in multivariable analysis (relative risk = 1.7; 95% CI, 1.1-2.6). Thematic exploration of the diagnostic routes to referral of patients with the longest durations (90th percentile) showed 2 dominating themes: "alternative working diagnosis" and "suboptimal diagnostic strategies," and included the sub-themes "omitting to reconsider an initial diagnosis" and "lacking follow-up." CONCLUSIONS: Long time to referral for CRC in primary care is mainly related to low cancer suspicion. There is potential for reducing the longest times to referral for patients with CRC in primary care, with earlier reconsideration of the initial hypothesis and implementation of strict follow-up consultations.


Subject(s)
Colorectal Neoplasms/diagnosis , Early Detection of Cancer/statistics & numerical data , Primary Health Care/statistics & numerical data , Referral and Consultation/statistics & numerical data , Time Factors , Adult , Aged , Female , Humans , Male , Middle Aged , Netherlands , Registries , Retrospective Studies
3.
Otolaryngol Head Neck Surg ; 150(1): 28-33, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24357394

ABSTRACT

OBJECTIVE: To assess the diagnostic value of fever and facial and dental pain in adults suspected of acute bacterial rhinosinusitis. DATA SOURCES: PubMed, EMBASE, and the Cochrane Library. REVIEW METHODS: A comprehensive systematic search was performed on March 18, 2013. We included articles reporting studies on the diagnostic value of fever or facial and dental pain in patients suspected of acute bacterial rhinosinusitis. For included articles, the reported study design was assessed for directness of evidence and risk of bias. Prevalences, positive predictive values, and negative predictive values were extracted. RESULTS: Of 3171 unique records, we included 1 study with a high directness of evidence and a moderate risk of bias. The prior probability of bacterial rhinosinusitis was 0.29 (95% confidence interval: 0.24 to 0.35). We could not extract posterior probabilities with accompanying positive and negative predictive values. The study reported an odds ratio from univariate analysis for fever of 1.02 (0.52 to 2.00) and 1.65 (0.83 to 3.28) for facial and dental pain. In subsequent multivariate analysis, the odds ratio of facial and dental pain was 1.86 (1.06 to 3.29). CONCLUSION AND RECOMMENDATION: There is 1 study with moderate risk of bias, reporting data in such a manner that we could not assess the value of fever and facial and dental pain in adults suspected of an acute bacterial rhinosinusitis. Therefore, these symptoms should not be used in clinical practice to distinguish between a bacterial and viral source of acute rhinosinusitis or for decision making about prescribing antibiotic treatment.


Subject(s)
Bacterial Infections/diagnosis , Facial Pain/etiology , Rhinitis/diagnosis , Sinusitis/diagnosis , Toothache/etiology , Virus Diseases/diagnosis , Acute Disease , Adult , Evidence-Based Medicine , Female , Fever , Humans , Middle Aged , Multivariate Analysis , Odds Ratio , Predictive Value of Tests
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