Breast Cancer Care Quality in South Africa's Public Health System: An Evaluation Using American Society of Clinical Oncology/National Quality Forum Measures

From Incidence to Intervention: A Comprehensive Look at Breast Cancer in South Africa

The formidable impact of breast cancer extends globally, with South Africa facing pronounced challenges, including significant disparities in breast cancer screening, treatment and survival along ethnic and socioeconomic lines. Over the last two decades, breast cancer incidence has increased and now accounts for a substantial portion of cancers in women. Ethnic disparities in terms of screening, incidence and survival exacerbate the issue, leading to delayed diagnosis among Black patients and highlighting healthcare inequities. These concerning trends underscore the urgency of enhancing breast cancer screening while mitigating treatment delays, although obstacles within the healthcare system impede progress. The intersection of breast cancer and human immunodeficiency virus (HIV) further complicates matters and particularly affects the Black population. Tackling the aforementioned disparities in breast cancer in South Africa mandates a multifaceted strategy. Robust screening efforts, particularly those targeting marginalised communities, are crucial for early detection. Concurrently, expedited treatment initiation is imperative. Addressing HIV-related complexities requires tailored interventions to ensure effective care. These multifaceted disparities require pan African research and cooperation as well as tailored interventions to enhance breast cancer care within the African region.

Cost-effectiveness of adjuvant chemotherapy for high-risk stage II and stage III colon cancer in South Africa

BACKGROUND

Colon cancer incidence is rising in low- and middle-income countries (LMICs), where resource limitations and cost often dictate treatment decisions. In this study, we evaluate the cost-effectiveness of adjuvant chemotherapy for high-risk stage II and stage III colon cancer treatment in South Africa (ZA) and illustrate how such analyses can inform cancer treatment recommendations in a LMIC.

METHODS

We created a decision-analytic Markov model to compare lifetime costs and outcomes for patients with high-risk stage II and stage III colon cancer treated with three adjuvant chemotherapy regimens in a public hospital in ZA: capecitabine and oxaliplatin (CAPOX) for 3 and 6 months, and capecitabine for 6 months, compared to no adjuvant treatment. The primary outcome was the incremental cost-effectiveness ratio (ICER) in international dollars (I$) per disability-adjusted life-year (DALY) averted, at a willingness-to-pay (WTP) threshold equal to the 2021 ZA gross domestic product per capita (I$13,764/DALY averted).

RESULTS

CAPOX for 3 months was cost-effective for both patients with high-risk stage II and patients with stage III colon cancer (ICER = I$250/DALY averted and I$1042/DALY averted, respectively), compared to no adjuvant chemotherapy. In subgroup analyses of patients by tumor stage and number of positive lymph nodes, for patients with high-risk stage II colon cancer and T4 tumors, and patients with stage III colon cancer with T4 or N2 disease. CAPOX for 6 months was cost-effective and the optimal strategy. The optimal strategy in other settings will vary by local WTP thresholds. Decision analytic tools can be used to identify cost-effective cancer treatment strategies in resource-constrained settings.

CONCLUSION

Colon cancer incidence is increasing in low- and middle-income countries, including South Africa, where resource constraints can impact treatment decisions. This cost-effectiveness study evaluates three systemic adjuvant chemotherapy options, compared to surgery alone, for patients in South African public hospitals after surgical resection for high-risk stage II and stage III colon cancer. Doublet adjuvant chemotherapy (capecitabine and oxaliplatin) for 3 months is the cost-effective strategy and should be recommended in South Africa.

Modeling the Cost-Effectiveness of Adjuvant Chemotherapy for Stage III Colon Cancer in South African Public Hospitals

PURPOSE

Cancer incidence is rising in low- and middle-income countries, where resource constraints often complicate therapeutic decisions. Here, we perform a cost-effectiveness analysis to identify the optimal adjuvant chemotherapy strategy for patients with stage III colon cancer treated in South African (ZA) public hospitals.

METHODS

A decision-analytic Markov model was developed to compare lifetime costs and outcomes for patients with stage III colon cancer treated with six adjuvant chemotherapy regimens in ZA public hospitals: fluorouracil, leucovorin, and oxaliplatin for 3 and 6 months; capecitabine and oxaliplatin (CAPOX) for 3 and 6 months; capecitabine for 6 months; and fluorouracil/leucovorin for 6 months. Transition probabilities were derived from clinical trials to estimate risks of toxicity, disease recurrence, and survival. Societal costs and utilities were obtained from literature. The primary outcome was the incremental cost-effectiveness ratio in international dollars (I$) per disability-adjusted life-year (DALY) averted, compared with no therapy, at a willingness-to-pay (WTP) threshold of I$13,006.56.

RESULTS

CAPOX for 3 months was cost-effective (I$5,381.17 and 5.74 DALYs averted) compared with no adjuvant chemotherapy. Fluorouracil, leucovorin, and oxaliplatin for 6 months was on the efficiency frontier with 5.91 DALYs averted but, with an incremental cost-effectiveness ratio of I$99,021.36/DALY averted, exceeded the WTP threshold.

CONCLUSION

In ZA public hospitals, CAPOX for 3 months is the cost-effective adjuvant treatment for stage III colon cancer. The optimal strategy in other settings may change according to local WTP thresholds. Decision analytic tools can play a vital role in selecting cost-effective cancer therapeutics in resource-constrained settings.

Quality of Histopathological Reporting in Breast Cancer: Results From Four South African Breast Units

PURPOSE

High-quality histopathology reporting forms the basis for treatment decisions. The quality indicator for pathology reports from the European Society of Breast Cancer Specialists was applied to a cohort from four South African breast units.

METHODS

The study included 1,850 patients with invasive breast cancer and evaluated 1,850 core biopsies and 1,158 surgical specimen reports with cross-center comparisons. A core biopsy report required histologic type; tumor grade; and estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER2) status, with a confirmatory test for equivocal HER2 results. Ki-67 was regarded as optional. Pathologic stage, tumor size, lymphovascular invasion, and distance to nearest invasive margin were mandatory for surgical specimens. Specimen turnaround time (TAT) was added as a locally relevant indicator.

RESULTS

Seventy-five percent of core biopsy and 74.3% of surgical specimen reports were complete but showed large variability across study sites. The most common reason for an incomplete core biopsy report was missing tumor grade (17.9%). Half of the equivocal HER2 results lacked confirmatory testing (50.6%). Ki-67 was reported in 89.3%. For surgical specimens, the closest surgical margin was reported in 78.1% and lymphovascular invasion in 84.8% of patients. Mean TAT was 11.9 days (standard deviation [SD], 10.8 days) for core biopsies and 16.1 days (SD, 11.3) for surgical specimens.

CONCLUSION

Histopathology reporting is at a high level but can be improved, especially for tumor grade, HER2, and Ki-67, as is reporting of margins and lymphovascular invasion. A South African pathology consensus will reduce variability among laboratories. Routine use of standardized data sheets with synoptic reports and ongoing audits will improve completeness of reports over time.

Retrospective cohort analysis of prescription patterns of cancer medications during periods of drug stockouts in Botswana

OBJECTIVE

Cancer drug stockouts occur at high frequencies globally, however, their effects on treatment are understudied in sub-Saharan Africa (SSA). We aimed to determine whether causes of suboptimal cancer treatment prescriptions differed between periods of stockout and full treatment supply.

DESIGN

A retrospective cohort study of systemic therapy prescriptions for patients diagnosed with the twelve most common solid tumour cancers treated in 2016.

SETTING

Princess Marina Hospital in Gaborone, Botswana.

PARTICIPANTS

Patients in the retrospective cohort who experienced any suboptimal treatment events, defined as ≥7 days delay or switch from guideline-concordant initiated therapy.

PRIMARY AND SECONDARY OUTCOME MEASURES

Frequency of delays and patterns of prescription changes for specific regimens and cancer types.

RESULTS

167/378 patients contributed to 320 suboptimal events (115 therapy switches, 167 delays and 38 events with both), over 1452 total chemotherapy cycles received. Events during stockout were 43% delays, 43% switches and 14% both during stockout periods and 67.2% delays, 24.4% switches and 8.4% both during non-stockout periods (p<0.001). Majority of switches involved de-escalation of initially prescribed guideline-recommended regimens in patients with breast cancer, Kaposi sarcoma and patients with colorectal cancer, which occurred more frequently during periods of drug stockouts. Among patients with breast cancer, substitution of docetaxel for paclitaxel event occurred exclusively during paclitaxel drug stockout. Delays of ≥7 days events were most frequent in breast cancer patients receiving paclitaxel during stockout, and combination doxorubicin and cyclophosphamide even during periods of non-stockout.

CONCLUSIONS

The aetiology of suboptimal events differed during stockout and non-stockout periods. Prescription patterns that involved de-escalation of initiated therapy and substitution of paclitaxel with docetaxel occurred frequently during periods of drug stockout. Further research needs to be conducted to understand the impact of stockout on survival and barriers to maintaining essential cancer medicines supplies in SSA, and the factors driving frequent delays in therapy delivery.

Quality indicators for the diagnosis and surgical management of breast cancer in South Africa

INTRODUCTION

Quality indicators (QIs) for breast cancer care have been developed and applied in high-income countries and contributed to improved quality of care and patient outcomes over time.

MATERIALS AND METHODS

A modified Delphi process was used to derive expert consensus. Potential QIs were rated by a panel of 17 breast cancer experts from various subspecialties and across South African provinces. Each QI was rated according to importance to measure, scientific acceptability and feasibility. Scoring ranged from 1 (no agreement) to 5 (strong agreement). Inclusion thresholds were set a priori at mean ratings ≥4 with a coefficient variation of ≥25%. Levels of evidence were determined for each indicator.

RESULTS

The literature review identified 790 potential QIs. After categorisation and removal of duplicates, 52 remained for panel review. There was strong consensus for 47 which were merged to 30 QIs by exclusion of similar indicators and indicator grouping. The final set included eight QIs with level I or II evidence and two QIs with level III evidence which were deemed "mandatory" due to clinical priority and impact on care. The remaining QIs with lower-level evidence were grouped as eight "recommended" QIs (regarded as standard of care) and twelve "optional" QIs (not regarded as standard of care).

CONCLUSION

A regional set of QIs was developed to facilitate standardised treatment and auditing of surgical care for breast cancer patients in South Africa. Routine monitoring of the ten mandatory QIs, which were selected to have the most substantial impact on patient outcome, is proposed.

A comparison of complete pathologic response rates following neoadjuvant chemotherapy among South African breast cancer patients with and without concurrent HIV infection

PURPOSE

Among patients diagnosed with breast cancer (BC), women also living with HIV (WLWH) have worse survival than women without HIV. Chronic HIV infection may interfere with the effectiveness of BC treatment, contributing to this disparity. We attempted to determine the impact of HIV infection on response to neoadjuvant chemotherapy (NACT) among South African women with BC.

METHODS

We evaluated women from the South African Breast Cancer and HIV Outcomes cohort study who had stage I-III disease, initiated NACT, underwent definitive breast surgery, and had available surgical pathology reports. We compared pathologic complete response (pCR) rates among women with and without HIV infection, using multivariable logistic regression to control for differences in tumor characteristics. We also evaluated the impact of HIV infection on pCR within subgroups based on patient and tumor factors.

RESULTS

Of 715 women, the 173 (24.2%) WLWH were less likely to achieve pCR than women without HIV (8.7% vs 16.4%, [odds ratio (OR) 0.48, 95% confidence interval (95% CI) 0.27-0.86]). WLWH continued to have lower likelihood of achieving pCR on multivariable analysis (OR 0.52, 95% CI 0.28-0.98). A similar pattern was seen within subgroups, although HIV infection appeared to affect pCR more in ER/PR-positive BC (OR 0.24, 95% CI 0.08-0.71) than in ER/PR-negative BC (OR 0.94, 95% CI 0.39-2.29).

CONCLUSION

WLWH were less like to achieve pCR following NACT for BC than women without HIV. This reduced response to systemic therapy may contribute to the poorer BC outcomes seen in WLWH.