METHODS: Focus group discussions were conducted with cancer patients who were diagnosed at least 1 year prior to recruitment, and either had paid work, were self-employed, currently unemployed, or currently retired (N = 66).
RESULTS: Three main themes were identified: (1) loss of income: While some participants were entitled for a 1-year cancer-specific sick leave, many other participants recounted having insufficient paid sick leave, forcing them to take prolonged unpaid leave to complete treatment; (2) dealing with side effects of cancer and its treatment: The need for workplace accommodations was highlighted including flexible working hours, lighter workloads, and dedicated rest areas to enable patients to cope better; (3) Discrimination and stigma at workplace: Some participants mentioned being passed over on a promotion, getting demoted, or being forced to resign once their cancer diagnosis was disclosed, highlighting an urgent need to destigmatize cancer in the workplace.
CONCLUSION: In settings with limited employment protection policies, a cancer diagnosis severely impacts the working experiences of patients, leading to financial loss. Urgent interventions and legislative reforms are needed in these settings to address the unmet employment needs of cancer survivors.
IMPLICATIONS FOR CANCER SURVIVORS: This study may facilitate planning of local solutions to fulfill the unmet employment needs following cancer, such as return-to-work navigation services.
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.
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: In the present paper, the clinical and pathological features of 16 patients with granulomatous mastitis seen over a 3-year period in the University Hospital, Kuala Lumpur, are described.
RESULTS: A clinical suspicion of malignancy was present in 10 cases. One of the patients was nulliparous. One had an associated hyperprolactinaemia, while two had systemic lupus erythromatosis. One of the patients was pregnant at the time of presentation. Four patients had localized lumps excised, five were treated conservatively because the lesion was too extensive to resect, and seven patients required drainage procedures for abscess formation.
CONCLUSION: Awareness of this condition is important because it mimics a carcinoma, and surgery may not be the best treatment for recurrent disease.
METHODS: A systematic review and meta-analysis of interventional studies assessing quality improvement processes, interventions, and structure in developing country surgical systems was conducted according to the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if they were conducted in an LMIC, occurred in a surgical setting, and measured the effect of an implementation and its impact. The primary outcome was mortality, and secondary outcomes were rates of rates of hospital-acquired infection (HAI) and surgical site infections (SSI). Prospero Registration: CRD42020171542.
RESULT: Of 38,273 search results, 31 studies were included in a qualitative synthesis, and 28 articles were included in a meta-analysis. Implementation of multimodal bundled interventions reduced the incidence of HAI by a relative risk (RR) of 0.39 (95%CI 0.26 to 0.59), the effect of hand hygiene interventions on HAIs showed a non-significant effect of RR of 0.69 (0.46-1.05). The WHO Safe Surgery Checklist reduced mortality by RR 0.68 (0.49 to 0.95) and SSI by RR 0.50 (0.33 to 0.63) and antimicrobial stewardship interventions reduced SSI by RR 0.67 (0.48-0.93).
CONCLUSION: There is evidence that a number of quality improvement processes, interventions and structural changes can improve mortality, HAI and SSI outcomes in the peri-operative setting in LMICs.