| Literature DB >> 34753768 |
George N Okoli1, Otto L T Lam2, Viraj K Reddy2, Leslie Copstein2, Nicole Askin3, Anubha Prashad4, Jennifer Stiff4, Satya Rashi Khare4, Robyn Leonard4, Wasifa Zarin5, Andrea C Tricco5,6,7, Ahmed M Abou-Setta2,8.
Abstract
OBJECTIVES: To summarise the current evidence regarding interventions for accurate and timely cancer diagnosis among symptomatic individuals.Entities:
Keywords: oncology; preventive medicine; primary care; public health
Mesh:
Year: 2021 PMID: 34753768 PMCID: PMC8578990 DOI: 10.1136/bmjopen-2021-055488
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Modified Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart.
Figure 2Geographical mapping of the included published articles.
Figure 3Summary of cancer types reported by the included published articles.
Figure 4Summary of intervention types reported by the included published articles.
Summary of the characteristics of the included published articles that reported data on effective interventions
| Intervention | Article | Study country (region) | Study type (study years) | Cancer type | Assessment metric | Results |
| Centralised or coordinated diagnostic service | Christensen and Huniche | Denmark | Cross-sectional (2016–2017) | Lung | Patients’ perspective, experiences and expectations | Although patients experienced anxiety with the fast-track diagnostic pathway, they still wanted to move through with diagnosis as quickly as possible (effective) |
| Common | Canada (Newfoundland) | Case–control (2015–2016) | Lung | Time from first abnormal image to biopsy | There was a statistically significant decline in wait times for patients from 61.5 to 36.0 days (p<0.0001) (effective) | |
| Evison | UK | Before-and-after (2016–2019) | Lung | Mean time from referral to CT | The median time from referral to CT was 3 days. Overall 56% and 90% of patients had completed a CT and consultation within 3 and 7 days of referral, respectively (0% and 24% prior to implementation) (effective) | |
| Ezer | Canada | Case–control (2010–2011) | Lung | Time from first contact with physician to diagnosis | Time from first contact to pathological diagnosis was shorter (median (M) 26 days; IQR 14–42 days) vs control patients (M 40 days; IQR 16–68 days) (effective) | |
| Jiang | Canada | Case–control (2011) | Breast | Time to diagnosis | The Canadian timeliness targets (time from patients’ first referral or test to the cancer diagnosis) were achieved more often than for usual care (71.7% vs 58.1%, respectively), with associated 10-day (95% CI 7.8 to 11.9) reduction in the median diagnostic interval (effective) | |
| McKevitt | Canada | Case–control (2009) | Breast | Diagnostic wait time | Patients had a decreased time to surgical consultation (33 vs 86 days, p<0.0001) for both malignant (36 vs 59 days, p=0.0007) and benign diagnoses (31 vs 95 days, p<0.0001) (effective) | |
| McKevitt | Canada (Vancouver) | Case–control (2012) | Breast | Time from presentation to surgical consultation | Time from presentation to surgeon evaluation was shorter in the RABC group for patients with breast symptoms (81 vs 35 days, p<0.0001) (effective) | |
| Moodley | South Africa (Western Cape province) | Cross-sectional (2015–2016) | Breast | Time between first healthcare provider visit and date of diagnosis | The median time between the first healthcare visit and a breast cancer diagnosis was 28 days (IQR 13–58 days). Women whose initial reaction was denial of the breast symptom had a significantly shorter diagnostic interval (11 days vs 29 days, p=0.010) (effective) | |
| Williams | New Zealand (Northland district) | Before-and-after (2015–2016) | Lung | Time from GP referral to first specialist appointment | Time from GP referral to first specialist appointment improved significantly (p=0.005) (effective) | |
| Interventions to enhance diagnostic services | Chapman | UK | Cross-sectional (2017–2018) | Gastrointestinal | Colorectal cancer (CRC) detection rate after a FIT | The symptomatic pathway incorporating FIT was feasible and appeared more clinically effective than pathways based on age and symptoms alone, with FIT results identifying patients with a significantly higher risk of CRC (effective) |
| Cotton | Canada | Before-and-after (2017–2018) | Lung | Referral to diagnosis | Monthly patient volumes increased by 65%, and wait time improved by 60% (effective) | |
| Laudicella | UK | Case–control (2006–2009) | Multiple | Survival of patients | Rerouting patients from emergency presentation to new referral resulted in better patient survival in all cancer cohorts (effective) | |
| Nixon | Canada | Case–control (2015–2017) | Haematological | Time from initial consultation to diagnosis of lymphoma | Median time to lymphoma diagnosis was 16 days for patients assessed in the nurse practitioner–led lymphoma rapid diagnosis clinic and 28 days for historical controls (p<0.001) (effective) | |
| Sardi | Colombia | Before-and-after (2012–2016) | Multiple | Time from initial consultation to biopsy | The average time from initial consult to biopsy decreased from 65 to 20 days and from biopsy to diagnosis from 33 to 4 days (effective) | |
| Setyowibowo | Indonesia (Bandung West Java) | RCT | Breast | Time between first visit to the hospital and a definitive diagnosis | The intervention reduced the time to definitive diagnosis: mean difference=−13.26, 95% CI −24.51 to −2.00, p=0.02) (effective) | |
| Skevington | UK | RCT | Multiple | Quality of life | Psychological quality of life increased (effective) | |
| Stenman | Sweden (Kristianstad) | Cross-sectional (2015) | Multiple | Total diagnostic interval | Shorter diagnostic interval (time from referral decision in primary care to diagnosis). The median primary care interval was 21 days, and the median diagnostic interval was 11 days (effective) | |
| Tafuri | USA | Case–control (2016–2018) | Prostate | Time from multiparametric MRI (mpMRI) to biopsy | One-stop patients experienced shorter time from mpMRI to biopsy (0 vs 7 days; p<0.01) (effective) | |
| Williams | Botswana (Gaborone) | Before-and-after (2015–2017) | Skin | Diagnostic histology turnaround times | Median turnaround in the post dermatology quality improvement interval was 11 days (IQR, 12–23 days) compared with 32 days in the pre-dermatology quality improvement interval (IQR, 24–56 days; p<0.001) (effective) | |
| Multidisciplinary team | Phillips | USA | Case–control (2014–2016) | Lung | Time to diagnosis | Compared with controls, patients with lung cancer in the Lung Cancer Strategist Programme cohort had an expedited time from suspicious finding to diagnosis (34 vs 44 days, p=0.027) (effective) |
| Patient navigation | Chavarri-Guerra | Mexico | Before-and-after (2016–2017) | Multiple | Feasibility | 91% of patients successfully obtained appointments at cancer centres in <3 months (effective) |
| Drudge-Coates | UK | Before-and-after (2012–2015) | Prostate | Waiting times from the GP referral to initial clinic assessment | Compared with the previous physician-led service, waiting times for patient appointment fell by 52% over a 3-year study period (effective) | |
| Whitley | USA | Case–control (2007–2011) | Multiple | Delays in diagnostic resolution based on Charlson Comorbidity Index score | Patient navigation reduced delays in diagnostic resolution, with the greatest benefits seen for those with a Charlson Comorbidity Index score ≥2 (effective) | |
| Rapid referral pathway | Antel | South Africa | Before-and-after (2017–2019) | Haematological | Diagnostic interval | Compared with a historical cohort, the diagnostic interval (time from first health visit to diagnostic biopsy) for patients with lymphoma was significantly shorter, 13.5 vs 48 days (p=0.002) (effective) |
| Arhi | UK | Case–control (2000–2013) | Gastrointestinal | HRs of death | Patients referred between 2 weeks to 3 months, and after 3 months with red-flag symptoms demonstrated a significantly worse prognosis than patients who were referred within 2 weeks (effective) | |
| Chng | UK | Case–control (2015–2019) | Brain | Tumour detection rate | With guideline adherence, the brain tumour detection rate was threefold higher (36.0% vs 11.5%, p=0.02) (effective) | |
| Creak | UK | Cross-sectional (2015–2018) | Multiple | Time to diagnosis | Direct GP referrals were feasible and manageable within a tertiary clinic and resulted in high rates of cancer diagnoses and early contact with an oncologist and nurse specialist, cutting short the ‘limbo’ time of high anxiety before diagnosis (effective) | |
| Hennessy | Ireland | Case–control (2012–2018) | Lung | Time to diagnosis | Time to diagnosis was longer in those who had attended a post Rapid Access Lung Cancer Clinic CT (34.5 vs 21 days) | |
| Jones | UK | Case–control (2013–2015) | Gastrointestinal | Time from referral to diagnosis | The pathway saved a mean of 7 days from referral to treatment (with a 95% CI of 3 to 11 days, p<0.008) and a mean of 16 days from referral to diagnosis, when compared with a traditional pathway (effective) | |
| Joyce | UK | Cross-sectional (2017–2018) | Multiple | Proportion with emergency diagnosis of cancer | A lower proportion of emergency diagnosis of cancer was found with higher 2 weeks wait referral conversion rate (effective) | |
| Pearson | UK | Case–control (2014) | Multiple | Primary care interval | Compared with patients with a specific alarm symptom, patients with non-specific but concerning symptoms had higher odds of having longer primary care intervals (adjusted OR: 1.24 (1.11 to 1.36)) (effective) | |
| Round | UK | Case–control (2011–2017) | Multiple | Risk of death | Cancer patients from the highest referring practices had a lower hazard of death (HR=0.96; 95% CI 0.95 to 0.97) (effective) | |
| Sandager | Denmark (National) | Cross-sectional (2010) | Multiple | Patient experience | Overall, pathway referred patients were 21% more likely than non‐pathway referred patients to report a positive experience (PR=1.21 (95% CI 1.11 to 1.30)) (effective) | |
| Thanapal | UK | Before-and-after (2012–2018) | Gastrointestinal | Time to diagnosis | Patients on the pathway took 25 days to obtain results as compared with 40 days in the standard pathway (effective) | |
| Vijayakumar | UK (Buckinghamshire) | Cross-sectional (2018) | Lung | Patient satisfaction | High satisfaction with the service, with scores above 93% in all parameters (effective) | |
| Standardised care pathway | Alonso-Abreu | Spain | Case–control (2008–2010) | Gastrointestinal | Survival rates | Survival rates at 12 and 60 months after treatment were significantly higher in the early colonoscopy group compared with the standard schedule colonoscopy group (p<0.001) (effective) |
| Dahl | Denmark (Countrywide) | Before-and-after (2004–2010) | Multiple | Patient satisfaction for waiting time from referral to consultation at a hospital | Implementation of pathway was associated with a reduced level of patient-reported dissatisfaction with long waiting time from the time of referral to the first consultation at the hospital (effective) | |
| Laerum | Norway (Kristiansand) | Before-and-after (2007–2016) | Lung | Referral interval | The median referral interval among all patients was reduced by 2 days from baseline to the next time period when the local diagnostic algorithm was streamlined (effective) | |
| Mullin | Canada | Before-and-after (2018–2019) | Lung | Time from referral to diagnosis | Time from referral to positron emission tomography decreased (from 38.5 to 15.7 days), time from referral to brain imaging decreased (from 33.4 to 13.1 days) and time from referral to diagnosis decreased (from 38.0 to 22.7 days), all demonstrating special-cause variation (effective) | |
| Nilbert | Sweden | Case–control (2015–2016) | Urinary tract | Time from sign/symptom to diagnosis | The standardised care pathway shortened the diagnostic delay to a median of 25 days compared with 35 days for regular referral (p=0.01) (effective) | |
| Rankin | Australia | Cross-sectional (2014) | Lung | Patient concerns urgency, advocacy and referral | Patients and general practitioners expressed similar themes across the diagnostic and pretreatment intervals (effective) | |
| Target or benchmark for wait times | Jeyakumar | Australia (Victoria) | Case–control (2018) | Lung | Mean time from initial CT to tissue diagnosis | The Standard Care group met the target for treatment commencement in 33.3% of cases whereas the Rapid Access Clinic group achieved this in 77% (effective) |
| Jiang | China | Case–control (2011–2015) | Lung | Time from initial respiratory consultation to treatment decision | Takes a median 4 workdays (range 3–6) for a new patient from initial respiratory consultation to treatment decision, whereas in many countries, 14 workdays are considered a reasonable timeline (effective) | |
| Sagar | UK | Before-and-after (2019–2020) | Gastrointestinal | 28-day target attainment | Attainment of the 28-day diagnosis target for all suspected colorectal cancer referrals improved following the establishment of a new pathway (88% vs 82%, p<0.0001) (effective) | |
| Stevenson-Hornby | UK | Before-and-after (2017) | Gastrointestinal | Percentage diagnosed | 55% of all referrals were found to have hepatobiliary-pancreatic cancer after pathway trial compared with 19% before (effective) | |
| Zhu | Sweden (Orebro) | RCT | Prostate | Self-reported symptoms of stress | Significant changes in depression symptoms and self-rated sleep quality suggested a benefit of the fast-track workup intervention (effective) | |
| Piano | UK | Cross-sectional (NR) | Multiple | Patient attitudes within the context of their recent referral experiences | Most patients had experienced swift referral. It was difficult for patients to understand how the new standard could affect on the time that it takes to progress through the system. Responsibility for meeting the standard was also a concern as patients did not see their own behaviours as a form of involvement (NA) | |
| Technology to support diagnosis process | Cazzaniga | Italy | Case–control (2017) | Skin | Diagnostic accuracy | The diagnostic accuracy of the online assessment compared with direct clinical examination was significant (effective) |
| Cock | UK | Guideline development (2014–2016) | Gastrointestinal | Patient satisfaction | Audits were being conducted to assess and compare patient satisfaction with face-to-face vs telephone assessments, although intervention was well-received (effective) | |
| Eastham | UK | Before-and-after (2015–2016) | Multiple | Form completion rates and time spent processing forms | Form completion rates improved from a mean of 44% of forms at baseline (n=210) to 99% postintervention n=236). Time spent processing forms also decreased from a mean of 96 s to 35 s postintroduction of the new system (effective) | |
| Hirst | UK | Cross-sectional (2016) | Multiple | GP perspectives on txt-netting | Text messages were perceived to be an acceptable potential strategy for safety netting patients with low-risk cancer symptoms (effective) | |
| Hunt | UK | Case–control (2018) | Skin | Time from referral to first appointment and diagnostic rates | There was a 23% absolute and 37% relative increase in diagnostic completion rates in the mobile van compared with the central hospital facility (p=0.0001) (effective) | |
| Moor | UK | Case–control (2007–2010) | Head and neck | Diagnostic accuracy | Machine learning algorithms accurately and effectively classify patients referred with suspected head and neck cancer symptoms (effective) | |
| Moreno-Ramirez | Spain | Case–control (2004–2015) | Skin | Waiting times for referral | Waiting times for referral for teledermatology network vs conventional letter referral system 12.31 (8.22 to 16.40) vs 88.62 (38.42 to 138.82) (effective) | |
| Nicholson | UK | Cross-sectional (2018–2019) | Skin | Patient satisfaction | Over 80% (49) would recommend the service, and the majority felt confident with the teledermatology model. Overall, patients would be happy to complete electronic questionnaires and receive results electronically, with younger patients being more amenable to this (effective) | |
| Orchard | UK | Before-and-after (2014–2017) | Gastrointestinal | Time from referral to diagnosis | Time from referral to diagnosis reduced from 39 to 21 days and led to a dramatic improvement in patients starting treatment within 62 days (effective) | |
| Snoswell | New Zealand (Countrywide) | Not clear | Skin | Time to clinical resolution | Mean time to clinical resolution was 9 days (range, 1–50 days) with teledermoscopy referral compared with 35 days (range, 0–138 days) with usual care alone (difference, 26 days; 95% credible interval 13 to 38 days) (effective) | |
| Sunderland | New Zealand (Auckland) | Case–control (2016) | Skin | Efficacy of diagnostic tool | A positive predictive value (PPV) of 38.1% and number needed to excise (NNE) of 2.6, with less than 10% of referrals triaged for teledermatoscopy confirmed as melanoma (24/264) (effective) | |
| Uthoff | India | Case–control (NR) | Oral | Diagnostic accuracy | Sensitivities, specificities, positive predictive values and negative predictive values ranged from 81.25% to 94.94% (effective) | |
| Vestergaard | Denmark (Southern Denmark) | Case–control (2018) | Skin | Percentage of lesions not requiring further in-person assessment | On evaluation by teledermoscopy, 31.5% of lesions did not need further in-person assessment (effective) |
*Effective but not applicable.
CT, computed tomography; FIT, faecal immunochemical testing; GP, general practitioner; NR, not reported; RABC, rapid access breast clinic; RCT, randomised controlled trial; RIC, rapid investigation clinic; STTP, straight to test pathway; TD, teledermatology; TS, traditional system.