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Objective: To identify and appraise mobile-based application (mAPP) interventions that have been used to support cancer control and care in low- and middle-income countries (LMICs). Methods: Four electronic databases were systematically searched for studies that reported primary research findings related to mAPP interventions applied in oncology settings in LMICs. A narrative synthesis was performed using the Mhealth Index and Navigation Database as an analytical framework. Results: Twenty studies reporting 18 cancer control and care mAPPs were included in this review. Among these mAPPs, ten focused on prevention, screening and early detection of cancer, five provided information to optimise supportive and palliative care, two provided support to assist treatment-shared decision-making and one covered information for follow-up and survivorship care. Conclusion: Cancer mAPP interventions are gradually gaining attention in LMICs as they provide unique resources for empowering and strengthening the role of people with cancer in their own care. To enhance cancer control, a focus on prevention and early detection is important; however, more mAPP interventions related to cancer treatment, follow-up and survivorship are also needed to enable more cost-effective cancer care.

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INTRODUCTION: The costs associated with cancer diagnosis, treatment and care present enormous financial toxicity. However, evidence of financial toxicity associated with cancer in low- and middle-income countries (LMICs) is scarce. AIM: To determine the prevalence, determinants and how financial toxicity has been measured among cancer patients in LMICs. METHODS: Four electronic databases were searched to identify studies of any design that reported financial toxicity among cancer patients in LMICs. Random-effects meta-analysis was used to derive the pooled prevalence of financial toxicity. Sub-group analyses were performed according to costs and determinants of financial toxicity. RESULTS: A total of 31 studies were included in this systematic review and meta-analysis. The pooled prevalence of objective financial toxicity was 56.96% (95% CI, 30.51, 106.32). In sub-group meta-analyses, the objective financial toxicity was higher among cancer patients with household size of more than four (1.17% [95% CI, 1.03, 1.32]; p = 0.02; I2 = 0%), multiple cycles of chemotherapy (1.94% [95% CI, 1.00, 3.75]; p = 0.05; I2 = 43%) and private health facilities (2.87% [95% CI, 1.89, 4.35]; p < 0.00001; I2 = 26%). Included studies hardly focused primarily on subjective measures of financial toxicity, such as material, behavioural and psychosocial. One study reported that 35.4% (n = 152 of 429) of cancer patients experienced high subjective financial toxicity. CONCLUSIONS: This study indicates that cancer diagnosis, treatment and care impose high financial toxicity on cancer patients in LMICs. Further rigorous research on cancer-related financial toxicity is needed.

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INTRODUCTION: asthma tends to be more severe with worse symptoms in Africa due to late diagnosis and delayed initiation of treatment. To identify patient and treatment-related factors which influence the appropriate use of asthma medications. METHODS: the study was institution based cross-sectional design. Patients were invited to provide information regarding the use of their asthma medications and factors potentially associated with appropriate use of these medications. A stepwise multivariate logistic regression analysis was used to evaluate the most important factor at a 0.05 level of significance. RESULTS: respondents with better knowledge of their asthma medications were more likely to use them appropriately (OR 5.82 [CI 95% 2.25-15.04]) as were those with positive attitudes and beliefs towards asthma and asthma medications (OR 3.88 [CI 95% 1.44-10.44]). CONCLUSION: patients need to understand the importance of adhering to the prescribed regimen for their asthma medications even in the absence of overt symptoms in order to optimize clinical outcome.

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Breast cancer is a global health concern in terms of morbidity and mortality. Risksharing mechanisms such as health insurance provide resources and promote access to healthcare. The aim of the study was to assess the relationship between health insurance coverage and clinical outcome of breast cancer patients. The study employed retrospective design involving the use of secondary data from the patients diagnosed with breast cancer. Between the period of 2015 to 2019, 250 patients' records were reviewed from a sample size of 300 patients over 5 year patients' follow-up period. A descriptive and Kaplan Meier survival analysis was performed to determine the patients' survival rate. Seventy-two percent of the patients had health insurance cover at the time of diagnosis. Insurance status was found to be significantly associated with survival (p-values= 0.036). Insurance cover had 1.42 hazard ratio (p=0.036, 95% CI: 1.023-1.980). Patients with health insurance coverage at the time of diagnosis had a higher survival rate. No significant association was found among the demographic characteristics and the patients' clinical outcomes.

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INTRODUCTION: There has been an increasing rate of the incidence and mortality of cervical cancer in Ghana. Cancer and the treatment's side effects have adverse effects on the patients and this affects patient's well-being and lifestyle during and after radiotherapy. The study sought to assess the impact of demographic and clinical characteristics on Quality of Life (QoL) among cervical cancer patients undergoing radiotherapy in Ghana. METHODS: A cross sectional quantitative study design was carried out on 120 cervical cancer patients who were conveniently sampled from the study site. The data was collected between the months of December, 2017 and February, 2018. QoL was measured using the FACT-G questionnaire. The mean scores of QoL were determined, whiles the chi-square test was used to determine the impact of socio-demographic and clinical characteristics on the QoL of the patients. RESULTS: The mean age of the patients was 56.8 years. Majority of the patients reported stable QoL. The social well-being of the older patients was more affected than other patients. The unmarried, widows and patients who underwent surgery with radiotherapy were emotionally affected. Majority (56%) of the participants had stable QoL whiles 22% each had poor and good QoL. Significant association was found among 35-39 age group with physical well-being and overall QoL (p=0.017 and 0.029) respectively. CONCLUSION: There is a need to embrace a QoL assessment instrument in the study site so as to help the oncology team in the identification and addressing of specific indicators that affect the QoL of cervical cancer patients.

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