RESUMO
Introduction: Cancer is the second leading cause of mortality with over 19 million cases and 10 million deaths worldwide. Available data on cancer patterns in Uganda are through modelling of data from two population-based cancer registries (PBCRs) representing only about 10% of the cancer situation in Uganda. This study sought to determine the common types of cancer among adults and children in Arua District over a 5-year period (2017-2021). Methods: Retrospective cohort chart review and 'catchment population approach' were employed. All newly diagnosed cancer patients from Arua between 2017 and 2021 were included in this study. Data were collected using Redcap whereas management and analysis were conducted using Stata 17. Cancer patterns were computed as frequencies and percentages and the interest was in finding out the common cancers among adults (above 19 years) and children (0-19 years). Results: Over the 5-year study period, a total of 1,118 new cancer cases were registered, with slightly more females (52.1%). The top five common cancers irrespective of sex and age were: liver cancer (13.7%), cervical (11.8%), breast (10.7%), oesophagus (10.5%) and Burkitt's lymphoma (BL) (6.4%). In this study, 15.3% (n = 171) of the study participants were children. The top five common childhood cancers included BL (42%), leukemia (10.5%), other lymphomas (9.4%), osteosarcoma (4.7%) and nephroblastoma (3%). Conclusion: There is a high incidence of liver cancer in Arua district. The high levels of cervical, breast and oesophagus cancer were consistent with what is reported by the two PBCRs in Uganda. However, BL could be due to the presence of a BL treatment centre at Kuluva hospital in Arua. Cancer interventions in Arua should therefore be targeted towards liver, cervix, breast, and oesophagus cancer and furthering research on the reason for the high incidence of liver cancer.
RESUMO
Introduction: In Africa almost half of healthcare services are delivered through private sector providers. These are often underused in national public health responses. To support and accelerate the public sector's COVID-19 response, we facilitated recruitment of additional private sector capacity by initiating a public-private partnership (PPP) in Kisumu County, Kenya. In this manuscript we demonstrate this PPP's performance. Methods: COVID-19 diagnostic testing formed the basis for a PPP between Kenyan Medical Research Institute (KEMRI), Department of Health Kisumu County, PharmAccess Foundation, and local faith-based and private healthcare facilities: COVID-Dx. First phase COVID-Dx was implemented from June 01, 2020, to March 31, 2021 in Kisumu County, Kenya. Trained laboratory technologists in participating healthcare facilities collected nasopharyngeal and oropharyngeal samples from patients meeting the Kenyan MoH COVID-19 case definition. Healthcare workers in participating facilities collected patient clinical data using a digitized MoH COVID-19 Case Identification Form. We shared aggregated results from these data via (semi-) live dashboards with all relevant stakeholders through their mobile phones and tablets. Statistical analyses were performed using Stata 16 to inform project processes. Results: Nine private facilities participated in the project. A patient trajectory was developed from case identification to result reporting, all steps supported by a semi-real time digital dashboard. A total of 4,324 PCR tests for SARS-CoV-2 were added to the public response, identifying 425 positives, accounting for 16% of all COVID-19 tests performed in the County over the given time-period. Geo-mapped and time-tagged information on incident cases was depicted on Google maps through PowerBI-dashboards and fed back to policymakers for informed rapid decision making. Preferential COVID-19 testing was performed on health workers at risk, with 1,009 tests performed (up to 43% of all County health workforce). Conclusion: We demonstrate feasibility of rapidly increasing the public health sector COVID-19 response through coordinated private sector efforts in an African setting. Our PPP intervention in Kisumu, Kenya was based on a joint testing strategy and demonstrated that semi-real time digitalization of patient trajectories can gain significant efficiencies, linking public and private healthcare efforts, increasing transparency, support better quality health services and informing policy makers to target interventions.
