Author | Country | Type/site | Title | Method | Outcome measure | Sample characteristics | Relevant findings |
Dye et al26 | Ethiopia | Breast | Complex care systems in developing countries: breast cancer patient navigation in Ethiopia | A mixed-methods study using semistructure interview to investigate the participant’s navigation through the health system before arriving at the tertiary health centre for treatment | Patient navigation through the healthcare system that culminated in the treatment of cancer | Participants: 55 patients with breast cancer plus 14 carers Mean age: 45.5 years Sex: 98% female | Initial presentation of symptoms was 53.7% to primary care, 16.4% to traditional healers, 16.4% to local/regional hospital, 9% to private hospital and 4.5% directly to the tertiary referral centre Definitive diagnoses were made at the tertiary health centre. |
Jemebere27 | Ethiopia | Breast | Barriers associated with presentation delay among breast cancer patients at Hawassa University Comprehensive and Specialised Hospital, Southern Ethiopia | Cross-sectional survey of women diagnosed with breast cancer at a specialised hospital | Route to diagnosis | Participants: 106 women Age range: 15–65 years Occupation: farmers (3%), labourer (9%), merchant (16%), professional 29%) and housewife (43%) Education: none (28%), elementary (29%), high school (24%) and college (≥19%) Family history of breast cancer (13%) | 64% delayed presenting to the hospital due to initial use of complementary medicine, including herbal remedy, traditional healers and prayers Definitive diagnoses were made at the teaching hospital. |
Ezeome19 | Nigeria | Breast | Delays in presentation and treatment of breast cancer in Enugu, Nigeria | Cross-sectional survey of patiets with breast cancer at an oncology specialist unit (in a teaching hospital) | Patients first point of symptom(s) presentation Patients first point of conventional medical treatment | Participants: 164 patients (162 female and 2 male) Median (range) age: 45 (21–77) years Socioeconomic status: low (59%), middle (40%), high (1%) Education: none (15%), primary (24%), secondary (29%), degree (30%) Religion: 96% Christians | 13.1% first used traditional healers. 4.4% first presented to a prayer house. 82.3% initially presented to healthcare facilities. First point of contact with medical facilities: 50% within primary (GP), 25% to consultant surgeon, 10.1% to patent medicine dealer, 7.5% to a gynaecologist, 5% to a nurse or allied health professional |
Pruitt et al20 | Nigeria | Breast | Social barriers to diagnosis and treatment of breast cancer in patients presenting at a teaching hospital in Ibadan, Nigeria | A qualitative study which used semistructured interview of patients with breast cancer in a teaching hospital | Help-seeking behaviour after noticing symptoms. | Participants: 31 women with breast cancer Median (range) age: 51 (28–≥80) years Education: none (n=7), primary/secondary (n=15), tertiary (n=9) Religion: Christians (83%) and Muslim (17%) | Most women rapidly sought orthodox medical care once they noticed symptoms, but few reported seeking herbal/spiritual help initially. Definitive diagnoses were made at the teaching hospital. |
Adesunkanmi et al21 | Nigeria | Breast | The severity, outcome and challenges of breast cancer in Nigeria | A retrospective study using 8 years records of patient with breast cancer diagnosis in a tertiary health centre. | To determine the challenges of breast cancer diagnosis at the centre | Participants: 212 patients Sex: 99.5% female Mean (SD) age: 48±12.3 years. Occupation: traders (52%), teachers (31.6%), nurses (5.5%), farmers (4%) and self-employed (1.4%) Education: primary (18%), secondary (14%) and tertiary (35%) Previous breast disease (25%), family history of breast cancer (7.2%) |
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Ahmed et al22 | Nigeria | Breast | Management and outcomes of male breast cancer in Zaria, Nigeria | A retrospective study using 10 years of medical records of men with breast cancer in a specialist oncology centre (in a teaching hospital) | Route to diagnosis | Participants: 57 men Mean (SD) age: 59±2.3 years |
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Aziato and Clegg-Lamptey29 | Ghana | Breast | Breast cancer diagnosis and factors influencing treatment decisions in Ghana | A qualitative study using face-to-face interviews of patients with breast cancer patients from a surgical unit and breast cancer support group | Route to diagnosis | Participants: 12 women Age range: 31–60 years Religion: all were Christians. | Women self-identified breast lesion or accidentally during medical examination for other problems. Participants with self-identified breast lesion presented directly to the tertiary health centre where definitive diagnoses were made. |
Agbokey et al30 | Ghana | Breast | Knowledge and health seeking behaviour of breast cancer patients in Ghana | A qualitative study using in-depth interviews to examine help-seeking behaviour of female breast cancer patients at a teaching hospital | Patient help-seeking behaviour after noticing female breast cancer symptoms | Participants: 20 women Median (range) age: 52.5 (29–80) years Occupation: traders (n=11), teachers (n=3), farmers (n=5) and nurse (n=1). Education: none (n=4), primary (n=12), secondary (n=1) and tertiary (n=3) Religion: 95% were Christians. | 12/20 first sought unorthodox care (herbalist, drug stores, home remedies and prayer camps) after noticing symptoms. Some patients went through a cycle of hospital-to-herbalist and back to hospital care before diagnosis. In all of the cases, however, definitive diagnoses were made at the tertiary health centre. |
Mlange et al34 | Tanzania | Cervical | Patient and disease characteristics associated with late tumour stage at presentation of cervical cancer in north-western Tanzania | A cross-sectional survey of women with histologically confirmed cervical cancer at a tertiary health centre | Route to diagnosis | Participants: 202 women with cervical cancers Mean (SD) age: 50±11 years Education: none (57%), primary (39%), secondary (2.4%) and college (1.4%). Occupation: farmers (84%), trader (9.9%), employed (2.4%), business (0.9%) and unemployed (2.4%) |
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Begoihn et al28 | Ethiopia | Cervical | Cervical cancer in Ethiopia: predictors of advanced stage and prolonged time to diagnosis | A retrospective cohort study of patients diagnosed with primary cervical cancer at a tertiary health centre | Route to diagnosis of cervical cancer | Participants: 1575 women with cervical cancers Mean (SD) age: 48.9±11.5 years | All of the 1575 women presented with cervical cancer symptoms to the tertiary health centre. |
Eze et al23 | Nigeria | Cervical | A six-year study of the clinical presentation of cervical cancer and the management challenges encountered at a state teaching hospital in Southeast Nigeria | A retrospective cohort study of patients diagnosed with primary cervical cancer at a tertiary health centre | Route to diagnosis of cervical | Participants: 61 women with primary cervical cancers. Mean (SD) age: 54±12.7 years Education: none (36.1%), primary (39.3%), secondary (23%) and college (1.6%) Occupation: farmers (60%), trader (37.7%), dependent (36.1%), business (0.9%) and retired (6.6%) | All of the 61 women presented with cervical cancer symptoms to the tertiary health centre. |
Alatise et al24 | Nigeria | Colorectal | Health-seeking behaviour and barriers to care in patients with rectal bleeding in Nigeria | A prospective survey of patients with rectal bleeding in the general population. | Attitude about seeking expert opinion among patients with rectal bleeding Initial help-seeking after the onset of rectal bleeding | Participants: 82 patients with rectal bleeding Median (range) age: 45 (18–85) years Sex: 78% were men Education: primary (28%), secondary (33%), tertiary (30%) Religion: Christians (66%) and Muslims (33%) |
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Chu et al31 | South Africa | Kaposi’s sarcoma | AIDS-associated Kaposi’s sarcoma is linked to advanced disease and high mortality in a primary care HIV programme in South Africa | Analysis of data from a cohort study of patients with AIDS-associated Kaposi’s sarcoma in primary care | Patient pathway to diagnosis of Kaposi’s sarcoma | Participants: 215 patients with Kaposi’s sarcoma Median age: 34 (IQR 29–41) years Sex: 41% women | 189/6292 patients enrolled at the HIV clinic were diagnosed with AIDS-associated Kaposi’s sarcoma during routine examination. |
Freeman et al36 | Kenya Uganda Malawi Nigeria Cameroon | Kaposi’s sarcoma | Pitfalls of practicing cancer epidemiology in resource-limited settings: the case of survival and loss to follow-up after a diagnosis of Kaposi’s sarcoma in five countries across sub-Saharan Africa | Analysis of HIV-infected patients’ in primary care records across five countries | Route to diagnosis of Kaposi’s sarcoma | Participants: 1328 patients with Kaposi’s sarcoma Median age: 35 (IQR 30–41) years Sex: 40% women | During routine examination for AIDS-related infections at the HIV clinic, 1328 patients were diagnosed with Kaposi’s sarcoma across the five countries between 2009 and 2012. |
Afungchwi et al33 | Cameroon | Burkitt lymphoma | The role of traditional healers in the diagnosis and management of Burkitt lymphoma in Cameroon: understanding the challenges and moving forward | A survey of parents and carers of children diagnosed with Burtkitt lymphoma in three large hospitals | Route to diagnosis Burkitt lymphoma | Participants: 384 completed the questionnaire. Median age: 8 (range 1–15) years Sex: male (57.4%) and female (42.4%) Religion: Christians (68.9%) and Muslims (30%) |
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Antel et al32 | South Africa | Lymphoma | The determinants and impact of diagnostic delay in lymphoma in a TB and HIV endemic setting | A retrospective cohort study of patients diagnosed with lymphomas Data sources included hospital records, telephone and face-to-face interviews. | Route to diagnosis of Hodgkin and non-Hodgkin's lymphoma | Participants: 163 HIV patients Median age: 48 (range 15–86) years Sex: 58% male Socioeconomic status: 70% on social grant or <251 monthly income | All 163 HIV patients were diagnosed with Hodgkin (41) and non-Hodgkin (122) lymphoma. They were referred to the tertiary health centre by healthcare practitioners. |
Brown et al25 | Nigeria | Childhood | A Prospective Study on the Causes of Delayed Diagnosis of Childhood Cancer in Ibadan, Nigeria | A survey of parents and carers of children diagnosed with malignant tumour in a tertiary healthcare settings | Factors influencing pre-diagnostic intervals among parent/carers of patient with childhood cancers | Participants: 91 children with cancer Median (range) age: 4 years (1 month −15 years). Sex: 50.5% male |
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Njuguna et al35 | Kenya | Childhood | Factors influencing time to diagnosis and treatment among paediatric oncology patients in Kenya | A cross-sectional survey of parent and carers of 99 children diagnosed with a malignancy. | Help-seeking after the onset of symptoms. | Participants: 99 children with cancer Median age: children: 5.7 years, mother: 31 (19–56) years Sex: 67% male Religion: 99% of mothers were Christians. Employment: farmers (29%), regular jobs (24%), casual labourers (6%) and unemployed (6%) | 58 (59%) of parents initially sought alternative treatment for their children, including praying ceremonies (41%), visiting herbalist (36%), special food intake (11%) and attending traditional healer (3%) First contact with conventional healthcare facilities included 60% in primary care, 38% in secondary and 2% in tertiary healthcare. |
GP, general practitioner.