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Published in: BMC Health Services Research 1/2022

Open Access 01-12-2022 | Care | Research article

Patients’ pathways to cancer care in Tanzania: documenting and addressing social inequalities in reaching a cancer diagnosis

Authors: Fortunata Songora Makene, Richard Ngilangwa, Cristina Santos, Charlotte Cross, Twalib Ngoma, Phares G. M. Mujinja, Marc Wuyts, Maureen Mackintosh

Published in: BMC Health Services Research | Issue 1/2022

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Abstract

Background

This article investigates the extent and sources of late diagnosis of cancer in Tanzania, demonstrating how delayed diagnosis was patterned by inequities rooted in patients’ socio-economic background and by health system responses. It provides evidence to guide equity-focused policies to accelerate cancer diagnosis.

Methods

Tanzanian cancer patients (62) were interviewed in 2019. Using a structured questionnaire, respondents were encouraged to recount their pathways from first symptoms to diagnosis, treatment, and in some cases check-ups as survivors. Patients described their recalled sequence of events and actions, including dates, experiences and expenditures at each event. Socio-demographic data were also collected, alongside patients’ perspectives on their experience. Analysis employed descriptive statistics and qualitative thematic analysis.

Results

Median delay, between first symptoms that were later identified as indicating cancer and a cancer diagnosis, was almost 1 year (358 days). Delays were strongly patterned by socio-economic disadvantage: those with low education, low income and non-professional occupations experienced longer delays before diagnosis. Health system experiences contributed to these socially inequitable delays. Many patients had moved around the health system extensively, mainly through self-referral as symptoms worsened. This “churning” required out-of-pocket payments that imposed a severely regressive burden on these largely low-income patients. Causes of delay identified in patients’ narratives included slow recognition of symptoms by facilities, delays in diagnostic testing, delays while raising funds, and recourse to traditional healing often in response to health system barriers. Patients with higher incomes and holding health insurance that facilitated access to the private sector had moved more rapidly to diagnosis at lower out-of-pocket cost.

Conclusions

Late diagnosis is a root cause, in Tanzania as in many low- and middle-income countries, of cancer treatment starting at advanced stages, undermining treatment efficacy and survival rates. While Tanzania’s policy of free public sector cancer treatment has made it accessible to patients on low incomes and without insurance, reaching a diagnosis is shown to have been for these respondents slower and more expensive the greater their socio-economic disadvantage. Policy implications are drawn for moving towards greater social justice in access to cancer care.
Appendix
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Footnotes
1
Spending per head at current exchange rate; USD 112 at Purchasing Power Parity [2].
 
2
There was no further back-translation from English to Kiswahili to cross-check.
 
3
See funding statement and acknowledgements. The broader project brings together researchers from Tanzania, Kenya, India and the UK to investigate the opportunities and challenges of linking industrial development and health systems innovation in order to widen access to cancer care in Tanzania and Kenya. In Tanzania 21 health professionals were also interviewed individually, alongside focus group discussions in each hospital. These interviews are not analysed here.
 
4
At exchange rate TZS 2300 = 1 USD, chosen to reflect exchange rates in late 2019.
 
5
Cases give authors’ summaries of individual patients’ trajectories.
 
6
Correlation coefficient between number of moves and length of delay = 0.49.
 
7
Date of diagnosis of one of these patients is unclear, hence omitted from Table 4.
 
8
Many respondents were able to recall their payments in considerable detail; to reduce underestimates, results in Tables 6 onwards include only data from respondents able to recall 70% or more of the payments for events for which payment was required.
 
9
We have transport cost data only for those interviewed in the public sector.
 
10
A social insurance fund for health care that has expanded from public employees to cover a wide range of groups and individuals; estimated population coverage 9% in 2019 (https://​www.​nhif.​or.​tz/​pages/​profile#gsc.​tab=​0 consulted 22/07/21). NHIF offers various levels of cover for beneficiaries.
 
11
Figures do not add to 100 because of rounding.
 
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Metadata
Title
Patients’ pathways to cancer care in Tanzania: documenting and addressing social inequalities in reaching a cancer diagnosis
Authors
Fortunata Songora Makene
Richard Ngilangwa
Cristina Santos
Charlotte Cross
Twalib Ngoma
Phares G. M. Mujinja
Marc Wuyts
Maureen Mackintosh
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Care
Published in
BMC Health Services Research / Issue 1/2022
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-021-07438-5

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