METHODS: We performed a rapid review of publications focusing on emergency contingency plans for cancer care during the pandemic in LMICs. An online desk research was conducted to identify relevant policy documents, guidelines or scientific publications.
RESULTS: Very few LMICs had readily accessible documents to ensure continuity in delivery of cancer care during the pandemic. A majority of publications were focused on delivery of cancer treatment whereas early detection, diagnosis and delivery of supportive and survivorship care received very little attention. Far fewer of the published guidelines appear to have been formulated at the national level by governmental agencies. A vast majority of publications constituted consensus guidelines from professional societies, followed by sharing of best practices from local institutions. Overall, three main strategies have been recommended to maintain delivery of cancer care amid the pandemic in LMICs: 1) Modification of cancer treatment regimens, 2) Changes in methods of administration of curative and supportive cancer care and 3) Implementation of generic measures to reduce the risk of COVID-19 infection in healthcare settings.
CONCLUSION: All LMICs should consider collating best practices from the current pandemic and translating them into an explicit cancer preparedness plan, which can be escalated during future disasters.
Methodology: We identified all cancer research papers from OIC countries in the Web of Science from 2008 to 2017 with a filter based on journal names and title words, with high precision and recall. We analysed the country outputs, the cancer sites investigated, the types of research, sources of funding and the citations to the papers.
Results: There were 49,712 cancer research papers over this period. The leading countries in terms of output were Turkey, Iran, Egypt and Malaysia, but the most cited papers were from Qatar, Indonesia and Saudi Arabia. International collaboration was low, except in Qatar and the United Arab Emirates. The site-specific cancers accounting for most research were breast and blood, correlating with their disease burden in the OIC countries, but lung, cervical and oesophageal cancers were relatively under-researched. Most funding from within the OIC countries was from their own university sector.
Conclusion: Cancer is seriously under-researched in most of the OIC countries. This will undermine the ability of these countries and OIC as a whole to deliver on better cancer control for their populations. New policies, OIC leadership and funding are urgently needed to address this situation.
Methods: This study employed a qualitative design. Semi-structured interviews (n = 20) were conducted with key opinion leaders from 14 countries. The participants were predominantly members of the International COVID-19 and Cancer Taskforce, who convened in March 2020 to address delivery of cancer care in the context of the pandemic. The Framework Method was employed to analyse the positive changes of the pandemic with corresponding challenges to their maintenance post-pandemic.
Results: Ten themes of positive changes were identified which included: value in cancer care, digital communication, convenience, inclusivity and cooperation, decentralisation of cancer care, acceleration of policy change, human interactions, hygiene practices, health awareness and promotion and systems improvement. Impediments to the scale-up of these positive changes included resource disparities and variation in legal frameworks across regions. Barriers were largely attributed to behaviours and attitudes of stakeholders.
Conclusion: The COVID-19 pandemic has led to important value-based innovations and changes for better cancer care across different health systems. The challenges to maintaining/implementing these changes vary by setting. Efforts are needed to implement improved elements of care that evolved during the pandemic.
METHOD: Publicly available data, and databases of registered palliative care services were obtained from governmental and nongovernmental sources. Google Maps and Rome2Rio web-based applications were used to assess geographical disparities by estimating the median distance, travel time, and travel costs from every Malaysian district to the closest palliative care service.
RESULTS: Substantial variations in availability, components, and accessibility (distance, time, and cost to access care) of palliative care services were observed. In the highly developed Central Region of Peninsular Malaysia, specialty care was available within 4 km whereas in the less-developed East Coast of Peninsular Malaysia, patients had to travel approximately 46 km. In the predominantly rural East Malaysia, basic palliative care services were 82 km away and, in some instances, where land connectivity was scarce, it took 2.5 h to access care via boat. The corresponding median travel costs were USD2 (RM9) and USD23 (RM114) in Peninsular Malaysia and East Malaysia.
CONCLUSION: The stark urban-rural divide in the availability and accessibility of palliative care services even in a setting that has made good progress toward UHC highlights the urgent need for decentralization of palliative care in the LMICs. This may be achieved by capacity building and task shifting in primary care and community settings.
METHODS: Cancer experts in lower-resource health care systems (as defined by the World Bank as low- and middle-income countries; N = 151) were contacted to participate in a modified consensus-seeking Delphi survey, comprising two rounds. In round 1, participants (n = 69) rated predetermined areas of potential research priority (ARPs) for importance and suggested missing ARPs. In round 2, the same participants (n = 49) rated an integrated list of predetermined and suggested ARPs from round 1, then undertook a forced choice priority ranking exercise. Composite voting scores (T-scores) were used to rank the ARPs. Importance ratings were summarized descriptively. Findings were discussed with international patient advocacy organization representatives.
RESULTS: The top ARP was research into strategies adapting guidelines or treatment strategies in line with available resources (particularly systemic therapy) (T = 83). Others included cancer registries (T = 62); prevention (T = 52); end-of-life care (T = 53); and value-based and affordable care (T = 51). The top COVID-19/cancer ARP was strategies to incorporate what has been learned during the pandemic that can be maintained posteriorly (T = 36). Others included treatment schedule interruption (T = 24); cost-effective reduction of COVID-19 morbidity/mortality (T = 19); and pandemic preparedness (T = 18).
CONCLUSION: Areas of strategic priority favored by cancer researchers in RCRs are related to adaptive treatment guidelines; sustainable implementation of cancer registries; prevention strategies; value-based and affordable cancer care; investments in research capacity building; epidemiologic work on local risk factors for cancer; and combatting inequities of prevention and care access.
METHODS: Through the Association of Southeast Asian Nations Costs in Oncology study, 1,294 newly diagnosed patients with cancer (Ministry of Health [MOH] hospitals [n = 577], a public university hospital [n = 642], private hospitals [n = 75]) were observed in Malaysia. Cost diaries and questionnaires were used to measure incidence of financial toxicity, encompassing financial catastrophe (FC; out-of-pocket costs ≥ 30% of annual household income), medical impoverishment (decrease in household income from above the national poverty line to below that line after subtraction of cancer-related costs), and economic hardship (inability to make necessary household payments). Predictors of financial toxicity were determined using multivariable analyses.
RESULTS: One fifth of patients had private health insurance. Incidence of FC at 1 year was 51% (MOH hospitals, 33%; public university hospital, 65%; private hospitals, 72%). Thirty-three percent of households were impoverished at 1 year. Economic hardship was reported by 47% of families. Risk of FC attributed to conventional medical care alone was 18% (MOH hospitals, 5%; public university hospital, 24%; private hospitals, 67%). Inclusion of expenditures on nonmedical goods and services inflated the risk of financial toxicity in public hospitals. Low-income status, type of hospital, and lack of health insurance were strong predictors of FC.
CONCLUSION: Patients with cancer may not be fully protected against financial hardships, even in settings with universal health coverage. Nonmedical costs also contribute as important drivers of financial toxicity in these settings.