Consensus study on the health system and patient-related barriers for lung cancer management in South Africa

Harnessing the law to advance equitable cancer care in South Africa: exploring the feasibility, desirability and added value of a dedicated national cancer act

Background

The 2017 World Health Assembly resolution on integrated cancer prevention and control provided clear guidance on creating an enabling environment for cancer care. Through a variety of mechanisms, including civil society advocacy, some countries have secured overarching legislation in the form of national cancer acts to promote equitable access and outcomes for cancer patients. In South Africa, cancer incidence is set to double by 2030; and, while existing legislative and policy frameworks do address cancer prevention and control, these are fragmented, poorly implemented and have had limited success.

Methods

This study assessed the feasibility and potential impact of promulgating a dedicated national cancer act in South Africa through exploratory in-depth interviews with 25 purposively selected key informants from various stakeholder groups, including cancer survivors; legal scholars; human rights advocates; health care providers; public health specialists and academicians.

Findings

Following thematic analysis, three key themes were identified: the content of a dedicated national cancer act, the socio-political leveragability of an act and accountability mechanisms that would support such an act.

Conclusion

While most respondents had not considered the possibility of a dedicated national cancer act, they were open to the concept for South Africa. Concerns about widening inequities, duplication, funding and accountability would need to be addressed against the current backdrop of health inequities and limited human rights leveraging for health.

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promote safety and the survival of many lives globally. The precise classification of lung cancer using medical images will help physicians select suitable therapy to reduce cancer mortality. Much work has been carried out in lung cancer detection using CNN. However, lung cancer prediction still becomes difficult due to the multifaceted designs in the CT scan. Moreover, CNN models have challenges that affect their performance, including choosing the optimal architecture, selecting suitable model parameters, and picking the best values for weights and biases. To address the problem of selecting optimal weight and bias combination required for classification of lung cancer in CT images, this study proposes a hybrid metaheuristic and CNN algorithm. We first designed a CNN architecture and then computed the solution vector of the model. The resulting solution vector was passed to the Ebola optimization search algorithm (EOSA) to select the best combination of weights and bias to train the CNN model to handle the classification problem. After thoroughly training the EOSA-CNN hybrid model, we obtained the optimal configuration, which yielded good performance. Experimentation with the publicly accessible Iraq-Oncology Teaching Hospital / National Center for Cancer Diseases (IQ-OTH/NCCD) lung cancer dataset showed that the EOSA metaheuristic algorithm yielded a classification accuracy of 0.9321. Similarly, the performance comparisons of EOSA-CNN with other methods, namely, GA-CNN, LCBO-CNN, MVO-CNN, SBO-CNN, WOA-CNN, and the classical CNN, were also computed and presented. The result showed that EOSA-CNN achieved a specificity of 0.7941, 0.97951, 0.9328, and sensitivity of 0.9038, 0.13333, and 0.9071 for normal, benign, and malignant cases, respectively. This confirms that the hybrid algorithm provides a good solution for the classification of lung cancer.

Delays in seeking, reaching and access to quality cancer care in sub-Saharan Africa: a systematic review

OBJECTIVES

Late presentation and delays in diagnosis and treatment consistently translate into poor outcomes in sub-Saharan Africa (SSA). The aim of this study was to collate and appraise the factors influencing diagnostic and treatment delays of adult solid tumours in SSA.

DESIGN

Systematic review with assessment of bias using Risk of Bias in Non-randomised Studies of Exposures (ROBINS-E) tool.

DATA SOURCES

PubMed and Embase, for publications from January 1995 to March 2021.

ELIGIBILITY CRITERIA

Inclusion criteria: quantitative or mixed-method research, publications in English, on solid cancers in SSA countries.

EXCLUSION CRITERIA

paediatric populations, haematologic malignancies, and assessments of public perceptions and awareness of cancer (since the focus was on patients with a cancer diagnosis and treatment pathways).

DATA EXTRACTION AND SYNTHESIS

Two reviewers extracted and validated the studies. Data included year of publication; country; demographic characteristics; country-level setting; disease subsite; study design; type of delay, reasons for delay and primary outcomes.

RESULTS

57 out of 193 full-text reviews were included. 40% were from Nigeria or Ethiopia. 70% focused on breast or cervical cancer. 43 studies had a high risk of bias at preliminary stages of quality assessment. 14 studies met the criteria for full assessment and all totaled to either high or very high risk of bias across seven domains. Reasons for delays included high costs of diagnostic and treatment services; lack of coordination between primary, secondary and tertiary healthcare sectors; inadequate staffing; and continued reliance on traditional healers and complimentary medicines.

CONCLUSIONS

Robust research to inform policy on the barriers to quality cancer care in SSA is absent. The focus of most research is on breast and cervical cancers. Research outputs are from few countries. It is imperative that we investigate the complex interaction of these factors to build resilient and effective cancer control programmes.

Pre- and post-intervention survey on lung cancer awareness among adults in selected communities in KwaZulu-Natal, South Africa: A quasi-experimental study

Background

Lung cancer remains the number one cause of cancer mortality estimated at 1.8 million deaths. There are limited studies in resource poor countries regarding knowledge, attitudes and practices towards lung cancer.

Objective

This study aimed to assess the effects of a lung cancer awareness intervention in selected communities in KwaZulu- Natal, South Africa.

Materials and Methods

A quasi-experimental study design was conducted in the selected communities in KwaZulu-Natal. A community intervention was administered in the communities after a baseline survey. The intervention effects were assessed a month after implementation.

Results

There were statistical differences in the mean age (p<0.001) and proportion of males and females (p<0.001) at baseline and post-intervention. There were no differences in terms of smoking status (p=0.958), however, there was a reduction in the number of cigarettes smoked per day (p<0.001) and the number of packs smoked per week (p=0.026). The mean knowledge score increased from 41.8% (95% CI 35.7 - 47.9) at baseline to 59.9 (95% CI 53.8 - 66.0) post-intervention (p<0.001). The proportion of participants who were aware that lung cancer can be detected early increased from 46.5% (95% CI 39.1 - 53.9) at baseline to 81.1% (95% CI 71.7 - 87.9) post-intervention (p<0.001). The intervention had a statistically significant effect (aOR 4.370, 95% CI 1.477-12.928) on the level of lung cancer knowledge in the selected communities (p<0.001).

Conclusions

Interventions increasing the recognition of signs and symptoms, focusing on the importance of early detection and health seeking behaviour (including screening), smoking cessation, and addressing the perceived health system barriers are required.

High-burden Cancers in Middle-income Countries: A Review of Prevention and Early Detection Strategies Targeting At-risk Populations

Cancer incidence is rising in low- and especially middle-income countries (MIC), driven primarily by four high-burden cancers (breast, cervix, lung, colorectal). By 2030, more than two-thirds of all cancer deaths will occur in MICs. Prevention and early detection are required alongside efforts to improve access to cancer treatment. Successful strategies for decreasing cancer mortality in high-income countries are not always effective, feasible or affordable in other countries. In this review, we evaluate strategies for prevention and early detection of breast, cervix, lung, and colorectal cancers, focusing on modifiable risk factors and high-risk subpopulations. Tobacco taxation, human papilloma virus vaccination, cervical cancer screen-and-treat strategies, and efforts to reduce patient and health system-related delays in the early detection of breast and colorectal cancer represent the highest yield strategies for advancing cancer control in many MICs. An initial focus on high-risk populations is appropriate, with increasing population coverage as resources allow. These strategies can deliver significant cancer mortality gains, and serve as a foundation from which countries can develop comprehensive cancer control programs. Investment in national cancer surveillance infrastructure is needed; the absence of national cancer data to identify at-risk groups remains a barrier to the development of context-specific cancer control strategies.