OBJECTIVE: The aim of this study was to identify, review, map, and summarize findings from different types of literature reviews on the use of mobile health (mHealth) technologies to improve the uptake of cancer screening.
METHODS: The review methodology was guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Ovid MEDLINE, PyscINFO, and Embase were searched from inception to May 2021. The eligible criteria included reviews that focused on studies of interventions that used mobile phone devices to promote and deliver cancer screening and described the effectiveness or implementation of mHealth intervention outcomes. Key data fields such as study aims, types of cancer, mHealth formats, and outcomes were extracted, and the data were analyzed to address the objective of the review.
RESULTS: Our initial search identified 1981 titles, of which 12 (0.61%) reviews met the inclusion criteria (systematic reviews: n=6, 50%; scoping reviews: n=4, 33%; rapid reviews: n=1, 8%; narrative reviews: n=1, 8%). Most (57/67, 85%) of the interventions targeted breast and cervical cancer awareness and screening uptake. The most commonly used mHealth technologies for increasing cancer screening uptake were SMS text messages and telephone calls. Overall, mHealth interventions increased knowledge about screening and had high acceptance among participants. The likelihood of achieving improved uptake-related outcomes increased when interventions used >1 mode of communication (telephone reminders, physical invitation letters, and educational pamphlets) together with mHealth.
CONCLUSIONS: mHealth interventions increase cancer screening uptake, although multiple modes used in combination seem to be more effective.
METHODS: Using Singapore Malaysia Hospital-Based Breast Cancer Registry, clinical information was retrieved from 7064 stage I to III breast cancer patients who were diagnosed between 1990 and 2011 and underwent surgery. Predicted and observed probabilities of positive nodes and survival were compared for each subgroup. Calibration was assessed by plotting observed value against predicted value for each decile of the predicted value. Discrimination was evaluated by area under a receiver operating characteristic curve (AUC) with 95 % confidence interval (CI).
RESULTS: The median predicted probability of positive lymph nodes is 40.6 % which was lower than the observed 43.6 % (95 % CI, 42.5 %-44.8 %). The calibration plot showed underestimation for most of the groups. The AUC was 0.71 (95 % CI, 0.70-0.72). Cancermath predicted and observed overall survival probabilities were 87.3 % vs 83.4 % at 5 years after diagnosis and 75.3 % vs 70.4 % at 10 years after diagnosis. The difference was smaller for patients from Singapore, patients diagnosed more recently and patients with favorable tumor characteristics. Calibration plot also illustrated overprediction of survival for patients with poor prognosis. The AUC for 5-year and 10-year overall survival was 0.77 (95 % CI: 0.75-0.79) and 0.74 (95 % CI: 0.71-0.76).
CONCLUSIONS: The discrimination and calibration of CancerMath were modest. The results suggest that clinical application of CancerMath should be limited to patients with better prognostic profile.
METHODS: This study proposed a deterministic, compartmental model with contact tracing and vaccination components. We defined contact tracing effectiveness as the proportion of contacts of a positive case that was successfully traced and the vaccination rate as the proportion of daily doses administered per population in Malaysia. Sensitivity analyses on the untraced and infectious populations were conducted.
RESULTS: At a vaccination rate of 1.4%, contact tracing with an effectiveness of 70% could delay the peak of untraced asymptomatic cases by 17 d and reduce it by 70% compared with 30% contact tracing effectiveness. A similar trend was observed for symptomatic cases when a similar experiment setting was used. We also performed sensitivity analyses by using different combinations of contact tracing effectiveness and vaccination rates. In all scenarios, the effect of contact tracing on COVID-19 incidence persisted for both asymptomatic and symptomatic cases.
CONCLUSIONS: While vaccines are progressively rolled out, efficient contact tracing must be rapidly implemented concurrently to reach, find, test, isolate and support the affected populations to bring COVID-19 under control.
METHODS: This is a cross-sectional study involved interviewing newly diagnosed breast cancer patients in the University Malaya Medical Centre (UMMC) using a structured questionnaire. Eligible respondents were interviewedduring a routine clinical visit.
RESULTS: A total of 400 patients were interviewed, of whom 139 (34.8%) were CAM users. Dietary supplementation (n = 107, 77.0%) was the most frequently used type of CAM, followed by spiritual healing (n = 40, 28.8%) and traditional Chinese medicine (n = 32, 23.0%). Malay ethnic group (n = 61, 43.9%) was the largest group of CAM users, followed by Chinese (n = 57, 41.0%) and Indian (n = 20, 14.4%). Majority of these CAM users (n = 87, 73.1%) did not disclose the use of CAM to their doctors. Most of them used remedies based on the recommendation of family and friends. Malay ethnicity and patients with 3 or more comorbidities were more likely to use CAM.
CONCLUSION: There is substantial use of CAM among breast cancer patients in UMMC prior to seeking hospital treatment, and the most popular CAM modality is dietary supplements. Since, the majority of CAM users do not disclose the use of CAM to their physicians, therefore health care providers should ensure that those patients who are likely to use CAM are appropriately counseled and advised.
MATERIALS AND METHODS: Twelve focus group discussions (n = 64) were conducted with women with breast cancer from two public and three private hospitals. This study specifically focused on (a) health costs, (b) nonhealth costs, (c) employment and earnings, and (d) financial assistance. Thematic analysis was used.
RESULTS: Financial needs related to cancer treatment and health care varied according to the participant's socioeconomic background and type of medical insurance. Although having medical insurance alleviated cancer treatment-related financial difficulties, limited policy coverage for cancer care and suboptimal reimbursement policies were common complaints. Nonhealth expenditures were also cited as an important source of financial distress; patients from low-income households reported transport and parking costs as troublesome, with some struggling to afford basic necessities, whereas participants from higher-income households mentioned hired help, special food and/or supplements and appliances as expensive needs following cancer. Needy patients had a hard time navigating through the complex system to obtain financial support. Irrespective of socioeconomic status, reductions in household income due to loss of employment and/or earnings were a major source of economic hardship.
CONCLUSION: There are many unmet financial needs following a diagnosis of (breast) cancer even in settings with universal health coverage. Health care professionals may only be able to fulfill these unmet needs through multisectoral collaborations, catalyzed by strong political will.
IMPLICATIONS FOR PRACTICE: As unmet financial needs exist among patients with cancer across all socioeconomic groups, including for patients with medical insurance, financial navigation should be prioritized as an important component of cancer survivorship services, including in the low- and middle-income settings. Apart from assisting survivors to understand the costs of cancer care, navigate the complex system to obtain financial assistance, or file health insurance claims, any planned patient navigation program should also provide support to deal with employment-related challenges and navigate return to work. It is also echoed that costs for essential personal items (e.g., breast prostheses) should be covered by health insurance or subsidized by the government.
METHODS: This retrospective study of Stage III breast cancer patients was conducted over a 5 year period from 1998 to 2002. The survival data were obtained from the National Registry of Births and Deaths with the end-point of the study in April 2006. The Kaplan Meier method was applied for survival analysis. Cox regression analysis by stepwise selection was performed to identify important prognostic factors.
RESULTS: Out of a 155 evaluable patients, 74 (47.7%) had primary surgery, 62 (40%) had neoadjuvant chemotherapy, 10 patients (6.5%) were given Tamoxifen as the primary treatment, while 9 patients (5.8%) defaulted any form of treatment. After neoadjuvant chemotherapy, 9 patients defaulted further treatment, leaving 53 evaluable patients. Out of these 53 evaluable patients, 5 patients (9.4%) had complete pathological response, 5 (9.4%) a complete clinical response, and 26 (49.1%) had partial response after neoadjuvant chemotherapy. The 5-year survival in the primary surgery group was 56.7 % compared to 44.7% in the neoadjuvant chemotherapy group (p<0.01). The important prognostic factors were race, size of tumour, nodal status, estrogen receptor status and response to neoadjuvant chemotherapy.
CONCLUSION: Patients who had primary surgery had better survival than those who underwent neoadjuvant chemotherapy, which may be due to bias in the selection of patients for neoadjuvant chemotherapy. Out of a total of 155 patients, 25.1% defaulted part of the treatment, or did not receive optimal treatment, emphasizing the importance of psychosocial support and counselling for this group of patients.
METHODS: Women aged 40-74 years, from Segamat, Malaysia, with a mobile phone number, who participated in the South East Asian Community Observatory health survey, (2018) were randomized to an intervention (IG) or comparison group (CG). The IG received a multi-component mHealth intervention, i.e. information about BC was provided through a website, and telephone calls and text messages from community health workers (CHWs) were used to raise BC awareness and navigate women to CBE services. The CG received no intervention other than the usual option to access opportunistic screening. Regression analyses were conducted to investigate between-group differences over time in uptake of screening and variable influences on CBE screening participation.
RESULTS: We recruited 483 women in total; 122/225 from the IG and 144/258 from the CG completed the baseline and follow-up survey. Uptake of CBE by the IG was 45.8% (103/225) whilst 3.5% (5/144) of women from the CG who completed the follow-up survey reported that they attended a CBE during the study period (adjusted OR 37.21, 95% CI 14.13; 98.00, p<0.001). All IG women with a positive CBE attended a follow-up mammogram (11/11). Attendance by IG women was lower among women with a household income ≥RM 4,850 (adjusted OR 0.48, 95% CI 0.20; 0.95, p = 0.038) compared to participants with a household income
METHODS: This hospital-based prospective cohort study will comprise patients with breast cancer (18 years and above), managed in the University Malaya Medical Centre (UMMC). We aim to recruit 1000 cancer survivors over a 6-year period. Data collection will occur at baseline (within 3 months of diagnosis), 6 months, and 1, 3 and 5 years following diagnosis. The primary outcomes are disease-free survival and overall survival, and secondary outcome is QoL. Factors measured are demographic and socioeconomic factors, lifestyle factors (eg, dietary intake, physical activity), anthropometry measurements (eg, height, weight, waist, hip circumference, body fat analysis), psychosocial aspects, and complementary and alternative medicine (CAM) usage.
ETHICS AND DISSEMINATION: This protocol was approved by the UMMC Ethical Committee in January 2012. All participants are required to provide written informed consent. The findings from our cohort study will be disseminated via scientific publication as well as presentation to stakeholders including the patients, clinicians, the public and policymakers, via appropriate avenues.