Impact of mobile health technologies on human papillomavirus vaccination uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria (mHealth-HPVac): study protocol of a randomised controlled trial.

BACKGROUND: Despite the availability of effective vaccines, human papillomavirus (HPV) vaccine uptake remains low in most resource-limited settings including Nigeria. Mobile health technology (mHealth) has the potential to empower patients to manage their health, reduce health disparities, and enhance the uptake of HPV vaccination. AIM: The "mHealth-HPVac" study will assess the effects of mHealth using short text messages on the uptake of HPV vaccination among mothers of unvaccinated girls aged 9-14 years and also determine the factors influencing the uptake of HPV vaccination among these mothers. METHODS: This protocol highlights a randomised controlled trial involving women aged 25-65 years who will be enrolled on attendance for routine care at the General Outpatient clinics of Lagos University Teaching Hospital, Lagos, Nigeria between July and December 2024. At baseline, n = 123 women will be randomised to either a short text message or usual care (control) arm. The primary outcome is vaccination of the participant's school-age girl(s) at any time during the 6 months of follow-up. The associations between any two groups of continuous variables will be assessed using the independent sample t-test for normally distributed data, or the Mann-Whitney U test for skewed data. For two groups of categorical variables, the Chi-square (X2) test or Fisher's exact test will be used, as appropriate. Using the multivariable binary logistic regression model, we will examine the effects of all relevant sociodemographic and clinical variables on HPV vaccination uptake among mothers of unvaccinated but vaccine-eligible school-age girls. Statistical significance will be reported as P < 0.05. DISCUSSION: The mHealth-Cervix study will evaluate the impact of mobile technologies on HPV vaccination uptake among mothers of unvaccinated but vaccine-eligible school-age girls in Lagos, Nigeria as a way of contributing to the reduction in the wide disparities in cervical cancer incidence through primary prevention facilitated using health promotion to improve HPV vaccination uptake. REGISTRATION: PACTR202406727470443 (6th June 2024).

Remote Symptom Monitoring to Enhance the Delivery of Palliative Cancer Care in Low-Resource Settings: Emerging Approaches from Africa.

This paper brings together researchers, clinicians, technology developers and digital innovators to outline current applications of remote symptom monitoring being developed for palliative cancer care delivery in Africa. We outline three remote symptom monitoring approaches from three countries, highlighting their models of delivery and intended outcomes, and draw on their experiences of implementation to guide further developments and evaluations of this approach for palliative cancer care in the region. Through highlighting these experiences and priority areas for future research, we hope to steer efforts to develop and optimise remote symptom monitoring for palliative cancer care in Africa.

Fixing the Leaky Pipe: How to Improve the Uptake of Patient-Reported Outcomes-Based Prognostic and Predictive Models in Cancer Clinical Practice.

PURPOSE: This discussion paper outlines challenges and proposes solutions for successfully implementing prediction models that incorporate patient-reported outcomes (PROs) in cancer practice. METHODS: We organized a full-day multidisciplinary meeting of people with expertise in cancer care delivery, PRO collection, PRO use in prediction modeling, computing, implementation, and decision science. The discussions presented here focused on identifying challenges to the development, implementation and use of prediction models incorporating PROs, and suggesting possible solutions. RESULTS: Specific challenges and solutions were identified across three broad areas. (1) Understanding decision making and implementation: necessitating multidisciplinary collaboration in the early stages and throughout; early stakeholder engagement to define the decision problem and ensure acceptability of PROs in prediction; understanding patient/clinician interpretation of PRO predictions and uncertainty to optimize prediction impact; striving for model integration into existing electronic health records; and early regulatory alignment. (2) Recognizing the limitations to PRO collection and their impact on prediction: incorporating validated, clinically important PROs to maximize model generalizability and clinical engagement; and minimizing missing PRO data (resulting from both structural digital exclusion and time-varying factors) to avoid exacerbating existing inequalities. (3) Statistical and modeling challenges: incorporating statistical methods to address missing data; ensuring predictive modeling recognizes complex causal relationships; and considering temporal and geographic recalibration so that model predictions reflect the relevant population. CONCLUSION: Developing and implementing PRO-based prediction models in cancer care requires extensive multidisciplinary working from the earliest stages, recognition of implementation challenges because of PRO collection and model presentation, and robust statistical methods to manage missing data, causality, and calibration. Prediction models incorporating PROs should be viewed as complex interventions, with their development and impact assessment carried out to reflect this.

Whole-genome sequencing across 449 samples spanning 47 ethnolinguistic groups provides insights into genetic diversity in Nigeria.

African populations have been drastically underrepresented in genomics research, and failure to capture the genetic diversity across the numerous ethnolinguistic groups (ELGs) found on the continent has hindered the equity of precision medicine initiatives globally. Here, we describe the whole-genome sequencing of 449 Nigerian individuals across 47 unique self-reported ELGs. Population structure analysis reveals genetic differentiation among our ELGs, consistent with previous findings. From the 36 million SNPs and insertions or deletions (indels) discovered in our dataset, we provide a high-level catalog of both novel and medically relevant variation present across the ELGs. These results emphasize the value of this resource for genomics research, with added granularity by representing multiple ELGs from Nigeria. Our results also underscore the potential of using these cohorts with larger sample sizes to improve our understanding of human ancestry and health in Africa.

Prognostic performance of pretreatment systemic immune-inflammation index in women with epithelial ovarian cancer.

Purpose: This study investigated the prognostic performance of the systemic immune-inflammation index (SII) in patients with epithelial ovarian cancer (EOC) in Lagos, Nigeria. Methods: We performed a secondary analysis of the data of 91 women who had treatment for EOC between 2009 and 2018. The associations between pretreatment SII and survivals were tested. Results: Pretreatment SII more than 610.2 was a significant independent predictor of reduced progression-free survival (HR = 2.68; 95% CI, 1.17 to 6.09) while SII greater than 649.0 was a significant independent predictor of reduced 3-year overall survival (HR = 2.01; 95% CI, 1.01 to 3.99). Conclusion: These findings suggest that high SII may be a potential prognostic indicator and useful marker for more intensive surveillance and design of personalized treatment in patients with EOC.

This study looked at how the systemic immune-inflammation index (SII) can predict the outcomes of patients with epithelial ovarian cancer (EOC). To do this, the data of 91 women who received treatment for EOC between 2009 and 2018 were analyzed. The study concluded that when the SII level was higher than 610.2 and 649.0, it was linked to a higher likelihood of EOC progressing sooner and of reduced survival at the 3-year mark, respectively. This suggests that a high SII might be a useful predictor to understand how EOC could progress and how well patients with EOC might survive.

A Dosimetric Comparison of Volumetric Modulated Arc Therapy and Intensity Modulated Radiotherapy in Patients Treated with Post-Mastectomy Radiotherapy.

Objective: Radiotherapy continues to play an important role in the management of breast cancer. This study compared the dosimetric differences between the techniques of intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) in breast cancer patients who had radiotherapy after mastectomy. Materials and Methods: Forty post-mastectomy patients (19 right-sided breast and 21 left-sided breast) treated with the IMRT technique using 7-9 fields who were re-planned with VMAT using 2 coplanar arc on the Varian Vital beam linear accelerator between January, 2020 and August, 2021 were included in this study. The patients received 42 Gy in 15 fractions to the chest wall, lymph nodes and supraclavicular nodes. The dosimetric parameter for planning target volume (PTV), organs at risk (OAR) and the integral dose to the body were analysed. Student's t-test for two independent means was used to analyse the dosimetric differences between the plans. Results: Clinical goals were achieved for both techniques. In terms of PTV coverage at 95% (IMRT: 712.17±233) vs (VMAT: 694.9±214) and the homogeneity index (IMRT: 0.075±0.04) vs (VMAT: 0.104±0.03), IMRT resulted in better dose coverage and homogeneity than VMAT. However, with the conformity index, no significant difference was seen. As regards the OARs, the mean doses, V5, V10, V20, V30, and V40 for the Ipsilateral-lung were lower in IMRT plans than in VMAT plans with a non-significant variation (p-values = 0.141, 0.416, 0.954, 0.443, and 1 respectively). Regarding the mean dose to the heart, low-dose volumes V5, V10, and high-dose volume V30 were significantly reduced in IMRT compared to VMAT. When comparing the dose to the contralateral breast, IMRT achieved a significantly lower mean dose than VMAT (2.9 vs 3.62, p = 0.0148). For MU, VMAT showed lower MU compared to IMRT with a non-significant difference. Conclusion: With IMRT, better PTV coverage, homogeneity and OAR sparing were observed. Additionally, VMAT resulted in a lower delivery time than IMRT. Overall, both techniques offered dosimetric qualities that were clinically acceptable.

Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study.

There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers-total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides-with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy.

Preoperative Predictors of Optimal Tumor Resectability in Patients With Epithelial Ovarian Cancer.

Background Several studies have shown that whether complete tumor resection can be achieved during debulking surgery depends on various patient-related factors. However, none of these studies was conducted among patients with epithelial ovarian cancer (EOC) in sub-Saharan Africa. In this study, we aimed to determine the preoperative predictors of optimal tumor resectability (OTR) during primary debulking surgery (PDS) in patients with EOC. Methodology In this study, we reviewed all patients with histologically diagnosed EOC who underwent PDS between January 2011 and December 2020. We included 83 patients with complete clinical records for subsequent data analysis. Descriptive statistics were computed for patients' data, and binary logistic regression analysis was used to assess the strength of associations between patients' preoperative characteristics and OTR. Results The overall rate of OTR was 53.0%, while the rate in advanced EOC patients was 36.1%. In the univariate analyses, pleural effusion, ascites, tumor bilaterality, size of the largest tumor, retroperitoneal lymph nodes, omental caking, peritoneal thickening, significant extrapelvic tumor, serum cancer antigen-125 (CA-125) levels, and hemoglobin levels were recorded as the predictors of OTR. However, after adjusting for covariates in the final multivariate models, we found that the absence of moderate-to-large pleural effusion (odds ratio (OR) = 5.60; 95% confidence interval (CI) = 1.32, 23.71) and having serum CA-125 levels of ≤370 U/mL (OR = 6.80; 95% CI = 1.19, 38.79) were the overall independent predictors of OTR while not having any preexisting comorbidity (OR = 18.21; 95% CI = 2.40, 38.10), and the absence of pleural effusions (OR = 13.75; 95% CI = 1.80, 24.85) or enlarged retroperitoneal lymph nodes (OR = 11.95; 95% CI = 1.35, 16.07) were predictors of OTR in advanced EOC patients. Conclusions We demonstrated that the radiological absence of pleural effusions and enlarged retroperitoneal lymph nodes and having no preexisting medical morbidity and serum CA-125 levels of ≤370 U/mL were the independent predictors of OTR during PDS. The preliminary data generated from this study can be used to develop variables for a prediction model in a future validation study.

Metabolic Syndrome and Risk of Breast Cancer by Molecular Subtype: Analysis of the MEND Study.

BACKGROUND: Metabolic syndrome (MetS) is characterized by a cluster of biological irregularities. The purpose of this analysis was to examine the association of MetS with BC among Nigerian women, and for the first time evaluate this association by molecular subtype. MATERIALS AND METHODS: MetS was defined as having at least 3 out of 5 of: high blood pressure (≥ 130/85 mm Hg), reduced HDL (< 50 mg/dL), elevated triglyceride (> 150 mg/dL), high waist circumference (≥ 80 cm), and prior diagnosis of diabetes or elevated fasting glucose level (≥ 100 mg/dL). Among 296 newly diagnosed BC cases and 259 healthy controls, multivariable logistic regression models were utilized to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for the association between MetS and BC overall. Multinomial logistic regression models were used to evaluate each molecular subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC). RESULTS: After adjusting for age, socio-demographic and reproductive risk factors, there was a positive association between MetS and BC (aOR: 1.84, 95% CI: 1.07, 3.16). In stratified analyses, MetS was associated with BC regardless of BMI status; however, the estimate was significant only among normal weight women (aOR: 3.85; 95% CI: 1.25, 11.90). MetS was significantly associated with TNBC subtype (aOR: 4.37, 95% CI: 1.67, 11.44); associations for other molecular subtypes were not statistically significant. CONCLUSION: MetS appears to be a robust risk factor for BC, particularly for TNBC. Public health and clinical interventions can provide substantial benefits in reducing the burden of MetS and preventing BC among Nigerian women.

Cancer pain control in a Nigerian oncology clinic: treating the disease and not the patient.

INTRODUCTION: inadequate pain control negatively impacts the quality of life of patients with cancer while potentially affecting the outcome. Proper pain evaluation and management are therefore considered an important treatment goal. This study assessed the prevalence of pain, the prescribing patterns, and the efficacy of pain control measures in cancer patients at the Radiation Oncology Unit of the Lagos University Teaching Hospital, Lagos. METHODS: this was a longitudinal study design recruiting adults attending outpatient clinics. Participants were assessed at initial contact and again following six weeks using the Universal Pain Assessment Tool developed by the UCLA Department of Anaesthesiology. RESULTS: among the patients reviewed, 34.0% (118 of 347) were at the clinic, referred for initial assessment following primary diagnosis. All respondents had solid tumours; the most common was breast cancer. The prevalence of pain at initial assessment was 85.9% (298 of 347), with over half of respondents, 74.5% (222 of 347) characterising their pain as moderate to severe. Over a quarter, 28.9% (100 of 347) of patients were not asked about their pain by attending physicians, and none of the patients had a pain assessment tool used during evaluation. In 14.4% (43 of 298) of patients, no intervention was received despite the presence of pain. At six weeks review, 31.5% (94 of 298) of patients had obtained no pain relief despite instituted measures. CONCLUSION: under-treatment of cancer pain remains a significant weak link in cancer care in (Low-to-middle-income country) LMICs like Nigeria, with a significant contributor being physician under-evaluation and under-treatment of pain. To ensure pain eradication, the treatment process must begin with a thorough evaluation of the patient's pain, an explicit pain control goal and regular reevaluation.

Association of body composition with odds of breast cancer by molecular subtype: analysis of the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Nigerian Women (MEND) study.

BACKGROUND: The association between obesity and breast cancer (BC) has been extensively studied among US, European and Asian study populations, with often conflicting evidence. However, despite the increasing prevalence of obesity and associated conditions in Africa, the continent with the highest age-standardized BC mortality rate globally, few studies have evaluated this association, and none has examined in relation to molecular subtypes among African women. The current analysis examines the association between body composition, defined by body mass index (BMI), height, and weight, and BC by molecular subtype among African women. METHODS: We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association between measures of body composition and BC and molecular subtypes among 419 histologically confirmed cases of BC and 286 healthy controls from the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) case-control study. RESULTS: Higher BMI (aOR: 0.79; 95% CI: 0.67, 0.95) and weight (aOR: 0.83; 95% CI: 0.69, 0.98) were associated with reduced odds of BC in adjusted models, while height was associated with non-statistically significant increased odds of BC (aOR: 1.07, 95% CI: 0.90, 1.28). In pre/peri-menopausal, but not post-menopausal women, both higher BMI and weight were significantly associated with reduced odds of BC. Further, higher BMI was associated with reduced odds of Luminal A, Luminal B, and HER2-enriched BC among pre/peri-menopausal women, and reduced odds of triple-negative BC among post-menopausal women. CONCLUSIONS: Higher BMI and weight were associated with reduced odds of BC overall and by molecular subtype among West African women. Larger studies of women of African descent are needed to definitively characterize these associations and inform cancer prevention strategies.

Impact of Mobile Technologies on Cervical Cancer Screening Practices in Lagos, Nigeria (mHealth-Cervix): A Randomized Controlled Trial.

PURPOSE: We assessed the impact of mHealth on Pap test screening uptake and also determined the factors that affect screening uptake among women in Lagos, Nigeria. MATERIALS AND METHODS: A randomized controlled trial was carried out among women in two tertiary health institutions in Lagos, Nigeria, between July 2020 and March 2021. Participants were randomly assigned to either a text message (mHealth) intervention or usual care arm. The main study outcome was the uptake of Pap smear testing within 6 months of enrollment in the study. We tested the associations between two groups of continuous variables using the unpooled independent-sample t-test (normal distribution) and that of two groups of categorical variables with the chi-square (χ2) test. Using a multinomial logistic regression model, we adjusted for relevant sociodemographic and clinical predictors of uptake of Pap smear screening. Statistical significance was defined as P < .05. RESULTS: There was a significantly higher rate of uptake of Pap smear screening among women in the mHealth arm compared with those in the usual care arm (51.0% v 35.7%, P = .031). Following adjustment in the final multivariate model, level of income (odds ratio [OR] = 5.13, 95% CI, 1.55 to 16.95), awareness of Pap smear (OR = 16.26; 95% CI, 2.49 to 76.64), General Outpatient clinic attendance, and introduction of mHealth intervention during follow-up (OR = 4.36; 95% CI, 1.44 to 13.22) were the independent predictors of Pap smear uptake. CONCLUSION: The use of mHealth technologies intervention via short-text message services is a feasible solution for cervical cancer prevention in low- and middle-income countries, and thus, the widespread use of mHealth services by health care providers and policymakers could contribute to the implementation of cervical cancer prevention services in Nigeria and in the settings of other low- and middle-income countries.

Association of Life-Course Educational Attainment and Breast Cancer Grade in the MEND Study.

Background: Nigeria reports the highest age-standardized mortality rate for breast cancer (BC) among African countries and disproportionately high rates of high-grade cancer. Histological grade is a strong predictor of mortality, and evidence suggests that educational attainment influences cancer outcomes. Objective: We characterize the association between educational trends across the life-course and BC grade at diagnosis. Methods: Data on 224 BC patients enrolled in the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Nigerian Women (MEND) study was analyzed. Participant and parental (mother and father) education was categorized as low (primary school or less) or high (secondary school or greater). Accordingly, the educational trend across the life-course was determined for each participant relative to each parent: stable high, increasing, decreasing, or stable low. BC grade was classified as high (grade 3) or low (grades 1-2). Findings: About 34% of participants, 71% of fathers, and 85% of mothers had low education. Approximately one-third of participants were diagnosed with high-grade BC. Participants with low-grade BC were more likely to have highly educated fathers (p = 0.04). After adjusting for age, comorbidities, marital status and mammogram screening, participants with highly educated fathers were 60% less likely to have high-grade BC (aOR 0.41; 95% CI 0.20 to 0.84) compared to those with less-educated fathers. Stable high life-course education relative to father was also associated with a significantly lower likelihood of having high-grade BC (aOR 0.36; 95% CI 0.15 to 0.87) compared to stable low life-course education. No significant associations were observed for the participant's education, mother's education, or life-course education relative to mother. Conclusions: Early-life socioeconomic status (SES) may influence BC grade. This deserves further study to inform policies that may be useful in reducing high-grade BC in Nigeria.

Association of high-sensitivity C-reactive protein and odds of breast cancer by molecular subtype: analysis of the MEND study.

Breast cancer (BC) in Nigeria is characterized by disproportionately aggressive molecular subtypes. C-reactive protein (CRP) is associated with risk and aggressiveness for several types of cancer. We examined the association of high-sensitivity CRP (hsCRP) with odds of BC by molecular subtype among Nigerian women. Among 296 newly diagnosed BC cases and 259 healthy controls, multivariable logistic regression models were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the association between hsCRP and odds of BC overall and by molecular subtype (luminal A, luminal B, HER2-enriched and triple-negative or TNBC). High hsCRP (> 3 mg/L) was observed in 57% of cases and 31% of controls and was associated with 4 times the odds of BC (aOR: 4.43; 95% CI: 2.56, 7.66) after adjusting for socio-demographic, reproductive, and clinical variables. This association persisted regardless of menopausal status and body mass index (BMI) category. High hsCRP was associated with increased odds of TNBC (aOR: 3.32; 95% CI: 1.07, 10.35), luminal A BC (aOR: 4.03; 95% CI: 1.29, 12.64), and HER2-enriched BC (aOR: 6.27; 95% CI: 1.69, 23.25). Future studies are necessary in this population to further evaluate a potential role for CRP as a predictive biomarker for BC.

A review of breast cancer pathology reports in Nigeria.

BACKGROUND: Diagnosis and treatment of cancer rely heavily on imaging, histopathology and molecular information. Incomplete or missing tumour information can hinder the delivery of high-quality care in oncology practice, especially in resource-limited countries. To evaluate the completeness of histopathology reporting in a real-world setting and identify areas for future cancer care delivery research efforts, we retrospectively analysed reports from patients diagnosed with breast cancer who received care at a high-volume oncology department at a hospital in Lagos, Nigeria. METHODS: Demographic, institutional and histopathology characteristics were retrospectively obtained from 1,001 patient records from 2007 to 2016. Completeness was defined as reporting five tumour features (tumour histology, tumour grade, laterality, oestrogen receptor (ER) or progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2)) for biopsy specimens and seven tumour features (tumour size, tumour histology, tumour grade, laterality, ER/PR, HER2 and lymph node involvement) for surgical specimens. RESULTS: The mean age of patients was 48.6 ± 11.7 years with a predominantly female population (99.3%). A majority of pathologic reports were produced after 2011, and two-thirds of the reports originated from centres or labs within Lagos, Nigeria (67.7%). Most reports documented primary site (98.0%) and specimen type (85.0%) while other characteristics were less often recorded. This led to substantial variation in reporting between biopsy (13.4%) and surgical (6.1%) specimens for an overall low pathology report completeness <10%. CONCLUSION: The majority of patient records analysed lacked complete documentation of breast cancer histopathological characteristics commonly used in oncology practice. Our study highlights a need to identify and address the contributing factors for incomplete histopathological reporting in Nigeria and will guide future clinical programmatic developments.

Chemotherapy induced neutropenia and febrile neutropenia among breast cancer patients in a tertiary hospital in Nigeria.

PURPOSE: This study assessed the incidence of chemotherapy-induced neutropenia and febrile neutropenia (FN) while identifying their associated factors. METHODS: A prospective cross-sectional study was conducted among 113 female chemotherapy-naïve breast cancer patients over a 2-year period. Socio-demographic, clinical and haematological data were obtained via semi-structured interviews and from medical case files. Blood samples for complete blood count parameters were collected 2 weeks after each course of chemotherapy. The National Cancer Institute Common Terminology Criteria for Adverse Events version 4.03 was used to assess FN, neutropenia and their severity. RESULTS: The incidence of neutropenia and FN among the patients was 31.9% and 5.3%, respectively. Throughout all courses of chemotherapy (n = 502), there were 57 (11.4%) neutropenic episodes with 6.6% mild, 3.4% moderate and 1.4% severe neutropenia. The incidence of neutropenia decreased with increasing chemotherapy courses, with a rate of 14.2% and 4.9% after the first and last course, respectively. Factors associated with the risk of developing neutropenia include increasing age (p = 0.014), Eastern Cooperative Oncology Group performance score ≥ 1 at presentation (p = 0.033) and presence of bone metastasis (p = 0.002). CONCLUSION: One in three breast cancer patients in this study developed neutropenia while on chemotherapy but no independent risk factors were identified for FN among these patients. This study has, therefore, provided the preliminary data necessary for further independent validation of the identified risk factors for FN in a more robust and well-designed study within our clinical practice setting in Nigeria.

Predictors of Survival Outcomes After Primary Treatment of Epithelial Ovarian Cancer in Lagos, Nigeria.

PURPOSE: This study was designed to investigate the clinicopathologic predictors of progression-free survival (PFS) and overall survival (OS) in patients with epithelial ovarian cancer (EOC) following primary treatment in Lagos, Nigeria. MATERIALS AND METHODS: Using data from a retrospective cohort of 126 patients who received treatment for EOC between 2010 and 2018, we identified 83 patients with a complete clinical record for subsequent data analysis. Patients' demographics and updated 2-year follow-up status were abstracted from medical records. Kaplan-Meier survival curves were compared using the log-rank test, and Cox proportional hazard models were used for multivariate analysis to identify independent predictors of survivals following treatment in EOC patients. RESULTS: The median PFS and OS were 12 and 24 months, respectively. After adjusting for covariates in the multivariate analysis, younger age ≤ 55 years (hazard ratio [HR] = 0.40; 95% CI, 0.22 to 0.74; P = .01) and International Federation of Gynecology and Obstetrics (FIGO) stage I/II (HR = 0.02; 95% CI, 0.01 to 0.08; P = .01) were independent predictors of improved PFS, whereas being premenopausal (HR = 2.34; 95% CI, 1.16 to 4.75; P = .02) was an independent predictor of reduced OS after 2-year follow-up. CONCLUSION: PFS could be predicted by the age and FIGO stage of the disease, whereas menopausal status was predictive of OS in patients with EOC. This knowledge should form the basis for counseling patients with ovarian cancer during their primary treatment and lend support to the importance of aggressive follow-up and monitoring for the older, premenopausal patients and those with an advanced stage of epithelial ovarian cancer. However, robust longitudinal research should be carried out to provide additional reliable insight to this information.

Stakeholder perspectives and requirements to guide the development of digital technology for palliative cancer services: a multi-country, cross-sectional, qualitative study in Nigeria, Uganda and Zimbabwe.

INTRODUCTION: Coverage of palliative care in low and middle-income countries is very limited, and global projections suggest large increases in need. Novel approaches are needed to achieve the palliative care goals of Universal Health Coverage. This study aimed to identify stakeholders' data and information needs and the role of digital technologies to improve access to and delivery of palliative care for people with advanced cancer in Nigeria, Uganda and Zimbabwe. METHODS: We conducted a multi-country cross-sectional qualitative study in sub-Saharan Africa. In-depth qualitative stakeholder interviews were conducted with N = 195 participants across Nigeria, Uganda and Zimbabwe (advanced cancer patients n = 62, informal caregivers n = 48, health care professionals n = 59, policymakers n = 26). Verbatim transcripts were subjected to deductive and inductive framework analysis to identify stakeholders needs and their preferences for digital technology in supporting the capture, transfer and use of patient-level data to improve delivery of palliative care. RESULTS: Our coding framework identified four main themes: i) acceptability of digital technology; ii) current context of technology use; iii) current vision for digital technology to support health and palliative care, and; iv) digital technologies for the generation, reporting and receipt of data. Digital heath is an acceptable approach, stakeholders support the use of secure data systems, and patients welcome improved communication with providers. There are varying preferences for how and when digital technologies should be utilised as part of palliative cancer care provision, including for increasing timely patient access to trained palliative care providers and the triaging of contact from patients. CONCLUSION: We identified design and practical challenges to optimise potential for success in developing digital health approaches to improve access to and enhance the delivery of palliative cancer care in Nigeria, Uganda and Zimbabwe. Synthesis of findings identified 15 requirements to guide the development of digital health approaches that can support the attainment of global health palliative care policy goals.