Time intervals in the pathway to emergency cancer diagnosis

Aim: Evidence on time-based metrics for cancers diagnosed through emergency presentation is lacking. We examined the duration of intervals from first symptoms to cancer diagnosis in the emergency versus primary care (PC) presentation route. Methods: Retrospective study of outpatients diagnosed with 15 solid cancers over 5 years. The outcome was the length of prediagnostic intervals by diagnostic route. Results: Median intervals in emergency presenters (n = 3167) were shorter than in PC presenters (n = 2215). However, intervals in emergency presenters with three or more prior PC consultations were similar to PC but remarkably longer than in those with one or two and no consultations. Conclusion: As we provide new interval measures for the emergency diagnostic pathway, results highlight the contribution of prior consultations to interval lengths.

Duration of the patient interval in breast cancer and factors associated with longer delays in low-and middle-income countries: A systematic review with meta-analysis

OBJECTIVE

Breast cancer survival is lower in low- and middle-income countries (LMICs) partially due to many women being diagnosed with late-stage disease. The patient interval refers to the time elapsed between the detection of symptoms and the first consultation with a healthcare provider and is considered one of the core indicators for early diagnosis and treatment. The goal of the current research was to conduct a meta-analysis of the duration of the patient interval in LMICs and investigate the socio-demographic and socio-cultural factors related to longer delays in presentation.

METHODS

We conducted a systematic review with meta-analysis (pre-registered protocol CRD42020200752). We searched seven information sources (2009-2022) and included 50 articles reporting the duration of patient intervals for 18,014 breast cancer patients residing in LMICs.

RESULTS

The longest patient intervals were reported in studies from the Middle East (3-4 months), followed by South-East Asia (2 months), Africa (1-2 months), Latin America (1 month), and Eastern Europe (1 month). Older age, not being married, lower socio-economic status, illiteracy, low knowledge about cancer, disregarding symptoms or not attributing them to cancer, fear, negative beliefs about cancer, and low social support were related to longer delays across most regions. Longer delays were also related to use of alternative medicine in the Middle East, South-East Asia, and Africa and distrust in the healthcare system in Eastern Europe.

CONCLUSIONS

There is large variation in the duration of patient intervals across LMICs in different geographical regions. Patient intervals should be reduced and, for this purpose, it is important to explore their determinants taking into account the social, cultural, and economic context.

Time intervals in the care pathway to cancer diagnosis during the COVID-19 pandemic: A large retrospective study from a high-volume center

Despite extensive research on cancer care during the COVID-19 pandemic, evidence on the impact on prediagnostic time intervals is lacking. To better understand how COVID-19 changed the pathway to diagnosis of cancer, we examined the length of intervals from symptom onset to diagnosis for 13 common cancer types with known clinical stage over 1-year nonpandemic period (March 2019 to March 2020; N = 844) and three biannual COVID periods (March 2020 to September 2021; N = 1172). We analyzed the patient interval (from first symptoms to presentation to a physician), the primary care/emergency department interval (from presentation with relevant symptoms to a primary care or emergency department physician to referral to a hospital-based diagnosis center) and the hospital interval (from referral to diagnosis). Compared to nonpandemic data, there were significant changes across COVID periods. The pandemic mostly impacted patient intervals for cancers diagnosed over the first 6 months after onset in March 2020. Overall median patient intervals were longest in the early COVID period (39 [IQR 22-64] days) and shortest in the nonpandemic period (20 [IQR 13-30] days; Kruskal-Wallis test [χ² ], P < .0001). Differences in clinical stage between periods were relevant, with cancers from the mid-period (September 2020 to March 2021) showing the most advanced stage. A shift to later stage was plausibly a result of delayed intervals in the early COVID period. Since intervals are eventually relevant to prognosis, our results provide a baseline against which the impact of improvement strategies to minimize the negative outcomes of COVID-19-associated cancer delays can be assessed and implemented.

The Prolonged Diagnostic Pathway of Young Adults (Aged 25-39) with Cancer in the United Kingdom: Results from the Young Adult Cancer Patient Journey Study

Purpose: Teenagers and young adults (TYAs; aged 13–24) experience prolonged intervals to cancer diagnosis. Insight into diagnostic intervals in young adults (YAs; aged 25–39) and subgroups at risk for long intervals is lacking. We investigated the diagnostic pathway of YA cancer patients, examined patient and tumor characteristics associated with its length, and compared the patient interval length of our sample with a TYA cohort. Methods: In this cross-sectional survey YAs diagnosed with cancer in the UK in the past five years completed a questionnaire describing their patient (time from first symptom to first doctor consultation) and healthcare interval (from first consultation until consultation with a cancer specialist), sociodemographic, and clinical characteristics. Associations between characteristics and interval length were examined and compared with previously published data in TYAs. Results: Among 341 YAs the patient interval lasted ≥2 weeks, ≥1 month, and ≥3 months in 60%, 42%, and 21%, respectively, compared to 48%, 27%, and 12% in the TYA group. The healthcare interval lasted ≥2 weeks, ≥1 month, and ≥3 months in 62%, 40%, and 17% of YA patients, respectively. YAs with melanoma or cervical cancer were most likely to experience long intervals, whereas YAs with breast cancer and leukemia were most likely to experience short intervals. Conclusions: Most YAs were not seen by a cancer specialist within 2 weeks of GP consultation. Interval lengths in YAs were associated with cancer diagnosis. Patient intervals were longer among YAs than among TYAs. Our study highlights long diagnostic pathways among YAs and calls for more awareness among healthcare professionals about malignancies in this age group.

Association of breast cancer reporting delays and care intervals with tumor size in patients with advanced disease

In Pakistan, breast cancer (BC) is frequently diagnosed with advanced disease. We aimed to examine the association of breast tumor size with reasons of reporting delays, care intervals in patients with advanced disease. This cross-sectional study enrolled 392 BC patients from tertiary care hospitals. Data were collected from August 2018-March 2019. Chi-square for significance and logistic regression for association were used. Patients between 31 and 45 years of age (51%), rural residents (39%), lower-class (88.4%), no family history (17.1%), at stage-IV (36%) and patient interval >90 days (70%, p = .034) presented with large tumor size (>5 cm). Tumor size was significantly associated with area of residence (p = .043), social-class (p = .027), family history (p = .004), smoking (p = .021), nipple discharge (p = .004), recurrence (p = .024), and metastasis (p = .007). Patient-interval was associated with poor knowledge (OR;4.3,p = .0001), influence of traditional healers (OR;2.3,p = .05), religion (OR;3.9,p = .0001), finances (OR;2.4,p = .045), and competing life priorities (OR;2.9,p = .026). In-adjusted linear regression model, area of residences, education, social-class, family-history, recurrence, cancer type, and patient interval (β;0.110,p = .030) were found to be independent predictors of tumor size. In conclusion, education, family history, area of residence, social class, recurrence, cancer stage and patient interval, co-influenced by religion, finances, life priorities, traditional healers, and poor knowledge, were independent predictors of tumor size in BC patients.

Patient and diagnostic intervals of survivors of sarcoma: Results from the SURVSARC study

BACKGROUND

Patients diagnosed with sarcoma are hypothesized to experience a prolonged route to a cancer diagnosis. This route, the total interval, can be divided into a patient interval (the time from the appearance of symptoms to physician consultation) and diagnostic interval (time from the first consultation to diagnosis). In the current study, the authors investigated these intervals among survivors of sarcoma and identified factors associated with prolonged intervals.

METHODS

A cross-sectional study was conducted among adult patients with sarcoma 2 to 10 years after diagnosis. Patients completed a questionnaire regarding their total interval, which was linked to clinical data from the Netherlands Cancer Registry. Descriptive statistics were used to describe intervals. Based on Dutch clinical guidelines, a diagnostic interval ≥1 month was considered to be prolonged and an interval ≥3 months was considered as very long. Multivariable regression analyses investigated associations between patient and tumor characteristics and interval length.

RESULTS

A total of 1099 participants were included (response rate, 58%); approximately 60% reported a patient interval ≥1 month and 36% reported a patient interval ≥3 months. Risk factors for a very long patient interval were sarcoma of the skin or pelvis, liposarcoma, or rhabdomyosarcoma. Stage III disease was associated with a shorter patient interval. The diagnostic interval length was ≥1 month in 55% of patients and ≥3 months in 28% of patients. Risk factors for a very long diagnostic interval were female sex, age <70 years, or having a synovial sarcoma or chordoma.

CONCLUSIONS

The patient and diagnostic interval lengths were prolonged in a substantial percentage of this sarcoma survivorship population. Factors found to be associated with the length of the patient interval or the diagnostic interval differed. Creating awareness among (especially young) patients to consult a physician and awareness among physicians to consider a sarcoma diagnosis will contribute to optimization of the total interval.

Psychological factors related to time to help-seeking for cancer symptoms: a meta-analysis across cancer sites

The time patients wait before seeking help for cancer symptoms is among the most important factors contributing to diagnostic delays in cancer. We reviewed the association between time to help-seeking and three psychological factors: symptom knowledge, symptom interpretation, and beliefs about cancer. Forty-seven studies met the inclusion criteria, providing data from 22 countries concerning seven cancer sites. Better symptom knowledge was related to lower odds of a long help-seeking interval in both studies with healthy populations (OR = .73, 95% CI [.63, .84], k = 19) and patients (OR = .40, 95% CI [.23, .69], k = 12), and so was interpreting experienced symptoms as cancer-related (OR = .52, 95% CI [.36, .75], k = 13 studies with patients). More positive beliefs about cancer (i.e., that cancer is treatable) were associated with lower odds of a long help-seeking interval in both studies with healthy populations (OR = .70, 95% CI [.52, .92], k = 11) and with patients (OR = .51, 95% CI [.32, .82], k = 7). Symptom knowledge, interpretation, and beliefs about cancer are likely to be universal predictors of help-seeking and should be incorporated into theoretical models of patient help-seeking and interventions aiming to reduce delays.

Time intervals experienced between first symptom recognition and pathologic diagnosis of breast cancer in Addis Ababa, Ethiopia: a cross-sectional study

OBJECTIVES

This study aimed to estimate the magnitude of patient and diagnostic delays and associated factors among women with breast cancer in Addis Ababa.

DESIGN

This is a cross-sectional study.

SETTINGS AND PARTICIPANTS

All women newly diagnosed with breast cancer in seven major healthcare facilities in Addis Ababa (n=441) were included in the study.

MAIN OUTCOMES AND MEASURES

Patient interval (time from recognition of first symptom to medical consultation) and diagnostic interval (time from first consultation to diagnosis). Patient intervals >90 days and diagnostic intervals >30 days were considered delays, and associated factors were determined using multivariable Poisson regressions with robust variance.

RESULTS

Thirty-six percent (95% CI [31.1%, 40.3%]) of the patients had patient intervals of >90 days, and 69% (95% CI [64.6%, 73.3%]) of the patients had diagnostic intervals of >30 days. Diagnostic interval exceeded 1 year for 18% of patients. Ninety-five percent of the patients detected the first symptoms of breast cancer by themselves, with breast lump (78.0%) as the most common first symptom. Only 8.0% were concerned about cancer initially, with most attributing their symptoms to other factors. In the multivariable analysis, using traditional medicine before consultation was significantly associated with increased prevalence of patient delay (adjusted prevalence ratio (PR) = 2.13, 95% CI [1.68, 2.71]). First consultation at health centres (adjusted PR = 1.19, 95% CI [1.02, 1.39]) and visiting ≥4 facilities (adjusted PR = 1.24, 95% CI [1.10, 1.40]) were associated with higher prevalence of diagnostic delay. However, progression of symptoms before consultation (adjusted PR = 0.73, 95% CI [0.60, 0.90]) was associated with decreased prevalence of diagnostic delay.

CONCLUSIONS

Patients with breast cancer in Addis Ababa have prolonged patient and diagnostic intervals. These underscore the need for public health programme to increase knowledge about breast cancer symptoms and the importance of early presentation and early diagnosis among the general public and healthcare providers.

The role of social context in symptom appraisal and help-seeking among people with lung or colorectal symptoms: A qualitative interview study

Prolonged diagnostic intervals are associated with poorer outcomes, and the patient interval appears to be a substantial contributor to the overall length of the diagnostic interval. This study sought to understand how the broader context of people's lives influenced symptom appraisal and help-seeking, comparing experiences by length of the patient interval. Patients referred with a suspicion of lung or colorectal cancer were invited to complete a questionnaire about their symptoms, with 26 respondents purposively sampled to take part in a semi-structured interview about their patient intervals. Embodied experience, appraisal, help-seeking decision-making and consultation were identified as component stages of the patient interval, with the factors affecting movement between these stages located in one of four contextual domains: individual experience, interpersonal relationships, healthcare system interactions and social and temporal context. The length of the patient interval was related to the type of symptom(s) experienced, discussion of symptoms with others and the social responsibilities people held during symptomatic periods. A contextual model of the patient interval illustrates the stages and domains of this interval, as grounded in the data from this study. The model has potential application to future studies examining the patient interval for a range of symptoms.

Variation in promptness of presentation among 10,297 patients subsequently diagnosed with one of 18 cancers: evidence from a National Audit of Cancer Diagnosis in Primary Care

Cancer awareness public campaigns aim to shorten the interval between symptom onset and presentation to a doctor (the ‘patient interval’). Appreciating variation in promptness of presentation can help to better target awareness campaigns. We explored variation in patient intervals recorded in consultations with general practitioners among 10,297 English patients subsequently diagnosed with one of 18 cancers (bladder, brain, breast, colorectal, endometrial, leukaemia, lung, lymphoma, melanoma, multiple myeloma, oesophageal, oro-pharyngeal, ovarian, pancreatic, prostate, renal, stomach, and unknown primary) using data from of the National Audit of Cancer Diagnosis in Primary Care (2009–2010). Proportions of patients with ‘prompt’/‘non-prompt’ presentation (0–14 or 15+ days from symptom onset, respectively) were described and respective odds ratios were calculated by multivariable logistic regression. The overall median recorded patient interval was 10 days (IQR 0–38). Of all patients, 56% presented promptly. Prompt presentation was more frequent among older or housebound patients (p < 0.001). Prompt presentation was most frequent for bladder and renal cancer (74% and 70%, respectively); and least frequent for oro-pharyngeal and oesophageal cancer (34% and 39%, respectively, p <.001). Using lung cancer as reference, the adjusted odds ratios of non-prompt presentation were 2.26 (95% confidence interval 1.57–3.25) and 0.42 (0.34–0.52) for oro-pharyngeal and bladder cancer, respectively. Sensitivity analyses produced similar findings. Routinely recorded patient interval data reveal considerable variation in the promptness of presentation. These findings can help to prioritise public awareness initiatives and research focusing on symptoms of cancers associated with greater risk of non-prompt presentation, such as oro-pharyngeal and oesophageal cancer.