Comparing absolute and relative distance and time travel measures of geographic access to healthcare facilities in rural Haiti.

INTRODUCTION: While travel distance and time are important proxies of physical access to health facilities, obtaining valid measures with an appropriate modelling method remains challenging in many settings. We compared five measures of geographic accessibility in Haiti, producing recommendations that consider available analytic resources and geospatial goals. METHODS: Eight public hospitals within the ministry of public health and population were included. We estimated distance and time between hospitals and geographic centroids of Haiti's section communes and population-level accessibility. Geographic feature data were obtained from public administrative databases, academic research databases and government satellites. We used validated geographic information system methods to produce five geographic access measures: (1) Euclidean distance (ED), (2) network distance (ND), (3) network travel time (NTT), (4) AccessMod 5 (AM5) distance (AM5D) and (5) AM5 travel time (AM5TT). Relative ranking of section communes across the measures was assessed using Pearson correlation coefficients, while mean differences were assessed using analysis of variance (ANOVA) and pairwise t-tests. RESULTS: All five geographic access measures were highly correlated (range: 0.78-0.99). Of the distance measures, ED values were consistently the shortest, followed by AM5D values, while ND values were the longest. ND values were as high as 2.3 times ED values. NTT models generally produced longer travel time estimates compared with AM5TT models. ED consistently overestimated population coverage within a given threshold compared with ND and AM5D. For example, population-level accessibility within 15 km of the nearest studied hospital in the Center department was estimated at 68% for ED, 50% for AM5D and 34% for ND. CONCLUSION: While the access measures were highly correlated, there were significant differences in the absolute measures. Consideration of the benefits and limitations of each geospatial measure together with the intended purpose of the estimates, such as relative proximity of patients or service coverage, are key to guiding appropriate use.

Gaps in completion and timeliness of breast surgery and adjuvant therapy: a retrospective cohort of Haitian patients with nonmetastatic breast cancer.

BACKGROUND: There are limited data on breast surgery completion rates and prevalence of care-continuum delays in breast cancer treatment programs in low-income countries. METHODS: This study analyzes treatment data in a retrospective cohort of 312 female patients with non-metastatic breast cancer in Haiti. Descriptive statistics were used to summarize patient characteristics; treatments received; and treatment delays of > 12 weeks. Multivariate logistic regressions were performed to identify factors associated with receiving surgery and with treatment delays. Exploratory multivariate survival analysis examined the association between surgery delays and disease-free survival (DFS). RESULTS: Of 312 patients, 249 (80%) completed breast surgery. The odds ratio (OR) for surgery completion for urban vs. rural dwellers was 2.15 (95% confidence interval [CI]: 1.19-3.88) and for those with locally advanced vs. early-stage disease was 0.34 (95%CI: 0.16-0.73). Among the 223 patients with evaluable surgery completion timelines, 96 (43%) experienced delays. Of the 221 patients eligible for adjuvant chemotherapy, 141 (64%) received adjuvant chemotherapy, 66 of whom (47%) experienced delays in chemotherapy initiation. Presentation in the later years of the cohort (2015-2016) was associated with lower rates of surgery completion (75% vs. 85%) and with delays in adjuvant chemotherapy initiation (OR [95%CI]: 3.25 [1.50-7.06]). Exploratory analysis revealed no association between surgical delays and DFS. CONCLUSION: While majority of patients obtained curative-intent surgery, nearly half experienced delays in surgery and adjuvant chemotherapy initiation. Although our study was not powered to identify an association between surgical delays and DFS, these delays may negatively impact long-term outcomes.

Impact of COVID-19 on Cancer Care Delivery in Africa: A Cross-Sectional Survey of Oncology Providers in Africa.

PURPOSE: The COVID-19 pandemic has disrupted cancer care globally. There are limited data of its impact in Africa. This study aims to characterize COVID-19 response strategies and impact of COVID-19 on cancer care and explore misconceptions in Africa. METHODS: We conducted a web-based cross-sectional survey of oncology providers in Africa between June and August 2020. Descriptive statistics and comparative analysis by income groups were performed. RESULTS: One hundred twenty-two participants initiated the survey, of which 79 respondents from 18 African countries contributed data. Ninety-four percent (66 of 70) reported country mitigation and suppression strategies, similar across income groups. Unique strategies included courier service and drones for delivery of cancer medications (9 of 70 and 6 of 70, respectively). Most cancer centers remained open, but > 75% providers reported a decrease in patient volume. Not previously reported is the fear of infectivity leading to staff shortages and decrease in patient volumes. Approximately one third reported modifications of all cancer treatment modalities, resulting in treatment delays. A majority of participants reported ≤ 25 confirmed cases (44 of 68, 64%) and ≤ 5 deaths because of COVID-19 (26 of 45, 58%) among patients with cancer. Common misconceptions were that Africans were less susceptible to the virus (53 of 70, 75.7%) and decreased transmission of the virus in the African heat (44 of 70, 62.9%). CONCLUSION: Few COVID-19 cases and deaths were reported among patients with cancer. However, disruptions and delays in cancer care because of the pandemic were noted. The pandemic has inspired tailored innovative solutions in clinical care delivery for patients with cancer, which may serve as a blueprint for expanding care and preparing for future pandemics. Ongoing public education should address COVID-19 misconceptions. The results may not be generalizable to the entire African continent because of the small sample size.

Body Mass Index, Chemotherapy-Related Weight Changes, and Disease-Free Survival in Haitian Women With Nonmetastatic Breast Cancer.

PURPOSE: Few studies have explored the relationship between body habitus and breast cancer outcomes in Caribbean women of African ancestry. This study evaluates the association between body mass index (BMI) and disease-free survival (DFS) in a retrospective cohort of 224 female Haitian patients with nonmetastatic breast cancer. PATIENTS AND METHODS: BMI was obtained from the medical records and categorized as normal weight (< 25 kg/m2), overweight (25-29.9 kg/m2), and obese (≥ 30 kg/m2). DFS was defined as time from surgical resection to disease recurrence, death, or censoring. Kaplan-Meier survival curves were generated, and the association between BMI and DFS was evaluated using Cox proportional hazard models to control for multiple confounders. Exploratory analyses were conducted on weight changes during adjuvant chemotherapy. RESULTS: Eighty-three patients (37.1%) were normal weight, 66 (29.5%) were overweight, and 75 (33.5%) were obese. There were no statistical differences in baseline characteristics or treatments received by BMI group. Twenty-six patients died and 73 had disease recurrence. Median DFS was 41.1 months. Kaplan-Meier estimates showed no significant DFS differences by BMI categories. After controlling for confounders, normal weight patients, when compared with overweight and obese patients, had adjusted hazard ratios of 0.85 (95% CI, 0.49 to 1.49) and 0.90 (95% CI, 0.52 to 1.55), respectively. Overall, mean weight loss of 2% of body weight was noted over the course of adjuvant chemotherapy. Patients who were postmenopausal (P = .007) and obese (P = .05) lost more weight than other groups. However, chemotherapy-related weight changes did not have an impact on DFS. CONCLUSION: Baseline BMI and weight changes during adjuvant chemotherapy did not have an impact on DFS in this cohort. Future prospective studies in similar Caribbean breast cancer cohorts are needed to verify study findings.

Patient Characteristics and Outcomes of Nonmetastatic Breast Cancer in Haiti: Results from a Retrospective Cohort.

BACKGROUND: There are few studies on breast cancer outcomes in the Caribbean region. This study identified a retrospective cohort of female patients with nonmetastatic breast cancer in Haiti and conducted survival analyses to identify prognostic factors that may affect patient outcomes. METHODS: The cohort included 341 patients presenting between June 2012 and December 2016. The primary endpoint was event-free survival (EFS), defined as time to disease progression, recurrence, or death. Descriptive summaries of patient characteristics and treatments were reported. Survival curves were plotted using Kaplan-Meier estimation. Multivariate survival analyses were performed using Cox proportional hazards regression. RESULTS: Median age at diagnosis was 49 years, with 64.2% being premenopausal. Most patients (55.1%) were staged as locally advanced. One hundred and sixty patients received neoadjuvant therapy: 33.3% of patients with early stage disease and 61.2% of those with locally advanced stage disease. Curative-intent surgery was performed in 278 (81.5%) patients, and 225 patients received adjuvant therapy. Adjuvant endocrine therapy was used in 82.0% of patients with estrogen receptor-positive disease. During the follow-up period, 28 patients died, 77 had disease recurrence, and 10 had progressive disease. EFS rates at 2 years and 3 years were 80.9% and 63.4%, respectively. After controlling for multiple confounders, the locally advanced stage group had a statistically significant adjusted hazard ratio for EFS of 3.27 compared with early stage. CONCLUSION: Patients with nonmetastatic breast cancer in Haiti have more advanced disease, poorer prognostic factors, and worse outcomes compared with patients in high-income countries. Despite several limitations, curative treatment is possible in Haiti. IMPLICATIONS FOR PRACTICE: Patients with breast cancer in Haiti have poor outcomes. Prior studies show that most Haitian patients are diagnosed at later stages. However, there are no rigorous studies describing how late-stage diagnosis and other prognostic factors affect outcomes in this population. This study presents a detailed analysis of survival outcomes and assessment of prognostic factors in patients with nonmetastatic breast cancer treated in Haiti. In addition to late-stage diagnosis, other unfavorable prognostic factors identified were young age and estrogen receptor-negative disease. The study also highlights that the availability of basic breast cancer treatment in Haiti can lead to promising early patient outcomes.