Healthcare delivery for non-communicable diseases among breast cancer survivors in Sri Lanka: Is there a missed opportunity?
Don Thiwanka Wijeratne1,4, Christopher M Booth3,4, Sanjeewa Seneviratne2,5, Bishal Gyawali3,4, Matt Jalink3,4, Malinthi Soysa2,6, Sachith Abhayaratna7, Hasitha Promod8, Punika Wijesinghe2,6 and Sanjeeva Gunasekera2,6
1Department of General Internal Medicine, Queen’s University, 94 Stuart Street, Kingston, ON K7L3N6, Canada
2Sri Lanka Cancer Research Group, Colombo 10230, Sri Lanka
3Department of Oncology, Queen’s University, Kingston K7L5P9, Canada
4Division of Cancer Care and Epidemiology, Queen’s University Cancer Research Institute, Kingston K7L5P9, Canada
5Department of Surgery, Faculty of Medicine, University of Colombo, Colombo 00300, Sri Lanka
6National Cancer Institute, Colombo 10230, Sri Lanka
7Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo 00300, Sri Lanka
8Health Information Unit, Ministry of Health, Colombo 00300, Sri Lanka
Abstract
Purpose: Breast cancer is the most common cancer globally as well as in Sri Lanka. Improvements in cancer care have allowed patients to live to an older age. With advancing age, incidence of non-communicable diseases (NCDs) increases. Cancer diagnoses tend to take attention away from the treatment of other comorbidities, given its importance. The objective of this study was to describe healthcare delivery for NCDs among female breast cancer survivors treated at the National Cancer Institute of Sri Lanka (NCISL) and identify opportunities to optimise non-cancer medical care in this cohort.
Methods: A total of 420 women were identified from the breast cancer database at the NCISL, who were 50–80 years at the time of their breast cancer diagnosis, were within 12–24 months from the date of diagnosis, had completed their active cancer treatment and were in complete remission. Of this population, 228 (54%) women who had documented NCDs at the time of diagnosis were identified and were followed-up via telephone to collect details regarding existing comorbidities and the screening and development of new comorbidities.
Results: At the time of cancer diagnosis, 216/228 (95%) of patients had hypertension, 104/228 (46%) had type 2 diabetes and 17/228 (8%) had ischaemic heart disease (IHD). The prevalence of other comorbidities was very low. During the post diagnosis period, 11 patients developed type 2 diabetes, while 2 developed IHD. Osteoporosis screening using dual-energy X-ray absorptiometry scanning was very low at diagnosis 21/228 (9%) but improved in post cancer treatment follow-up 112/228 (49%, p < 0.001). Only 95/228 (42%) were screened for other cancers.
Conclusions: Hypertension was the most prevalent comorbidity while type 2 diabetes and dyslipidaemia were the most common diagnoses post-treatment. In these patients, screening for osteoporosis and other cancers remains very low, emphasising a missed opportunity.
Keywords: breast cancer, comorbidities, care delivery
Correspondence to: Dr Don Thiwanka Wijeratne
Email: dtdw@queensu.ca
Published: 12/10/2021
Received: 12/07/2021
Publication costs for this article were supported by ecancer (UK Charity number 1176307).
Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Introduction
Breast cancer is the most common cancer and the leading cause of cancer death globally with an age standardised incident rate of 46.3 per 100,000 and a mortality rate of 13 per 100 [1]. Breast cancer incidence has been increasing rapidly in Asian, Latin American and African countries [2]. Rising rates of breast cancer in low resource settings are likely related to shifts in population demographics and lifestyle habits including weight gain, sedentary behaviour and alcohol intake [3–5]. In Sri Lanka, breast cancer remains the most common cancer type with an annual age-standardised incidence of 24.3 per 100,000 [6, 7].
The rising incidence and improvements in cancer care have contributed to a growing number of breast cancer survivors, more than half of whom are older than 65 years of age [8]. As these cancer survivors live longer, they are more susceptible to other comorbidities including cardiovascular disease (CVD) due to added risk from complications of treatment and common baselines risk factors [3]. It is important to measure cardiovascular risk factors in the short term, as they can provide an estimate of cardiovascular morbidity and mortality over time [9]. In Sri Lanka, CVD remains the most prevalent cause of morbidity and mortality, and common risk factors such as diabetes, hypertension and obesity have increased [10].
The interaction between cancer and other chronic diseases is complex. There are several common risk factors for CVD and cancer including diet, obesity, physical inactivity, alcohol and reproductive factors [4, 5]. Cancer treatment may lead to early or delayed cardiovascular toxicity that can vary from left ventricular dysfunction, heart failure, coronary ischaemia, hypertension and thromboembolic disease [11, 12]. During a patient’s journey in cancer care, regular follow-up and screening for non-communicable diseases (NCDs) may not be given full attention. The emphasis is typically given to the index cancer diagnosis and may paradoxically lead to inferior health outcomes by not recognising complications from other comorbidities. Furthermore, the point of reference for ongoing care may shift from primary care doctors to oncologists who may have an experience bias towards detection of cancer recurrences rather than screening for and identifying other NCD comorbidities. Therefore, the overall prognosis of many of the breast cancer survivors is dependent on the effective management of their preexisting comorbidities [13]. To the best of authors’ knowledge, no previous study has looked at characterising the healthcare delivery for comorbidities in a cohort of breast cancer patients in Sri Lanka. The objective of this study was to describe healthcare delivery for NCD comorbidities among female breast cancer survivors treated at the National Cancer Institute of Sri Lanka (NCISL) and explore opportunities to optimise their non-cancer medical care.
Methods
Setting
The NCISL is the only dedicated cancer hospital in the country. Approximately two-thirds of all cancer patients in Sri Lanka will have some component of care delivered at NCISL. The centre treats approximately 1,200 women with newly diagnosed breast cancer annually. Our team has created an inception cohort of breast cancer patients at the NCISL with ongoing annual follow-up in collaboration with the University of Colombo, Sri Lanka, and Queen’s University in Canada. This inception cohort currently includes over 5,000 breast cancer patients from 2016 to present. Details on cohort creation are described elsewhere [14].
Eligibility criteria
Patients presenting with newly diagnosed breast cancer who were between 50 and 80 years of age at the time of their breast cancer diagnosis were screened for inclusion in this study. From October to December 2020, patients who had completed a follow-up of 12–24 months prior to 1 October 2020, were recruited into this study. Four- hundred and twenty women were originally identified from the breast cancer database at the NCISL, of which 228 had a diagnosed comorbidity at the start of the study. This age range was selected given the high prevalence of NCDs in this age group. Patients were eligible if: a) they were within 12–24 months from the date of their breast cancer diagnosis; b) have completed their active cancer treatment (surgery, chemotherapy and radiation); c) have no evidence of breast cancer recurrence and d) had documented NCDs at the time of cancer diagnosis (i.e. pre-cancer comorbidity). The comorbidities captured in the registry included diabetes, hypertension, dyslipidaemia, ischaemic heart disease (IHD), heart failure, cerebrovascular disease, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD) and liver disease (cirrhosis). These diagnoses were captured during medical assessments by a medical officer and documented in the patient’s medical chart. Relevant lab work that supported these diagnoses was extracted from the charts when available but was not required for study inclusion. These patients were then contacted by phone 12–24 months after their diagnosis to follow-up on the status of their comorbidities. Information on their pre- and post-cancer comorbidities was confirmed and additional details were collected during this phone follow-up. Only comorbidities with a confirmed diagnosis were included for post-diagnosis comorbidities assessment. Other information collected included the medical follow-up available, screening for osteoporosis by a dual-energy X-ray absorptiometry (DXA) scan and screening for any other cancers.
All data were collected by trained abstractors using a standardised questionnaire administered over the phone. Validation of data collection was performed by a board-certified medical specialist observing 20% of these encounters. All patients had consented to participate in the cohort, and this was re-confirmed at the time of the follow-up phone call. If the patient was not able to provide information, an assigned caregiver was approached after obtaining consent from the patient. Patient data were de-identified and stored securely. Only aggregate data are presented in this study. This study was conducted at the NCISL after ethics approval for this study was obtained by the University of Colombo, Sri Lanka.
Statistical analysis
Descriptive data were reported using counts/percentages and means/standard deviations (SD). Counts before and after treatment were compared using McNemar chi-squared statistic with Yates correction of 0.5 to account for paired sampling, some lower frequency values and upward bias [15]. SPSS statistical software version 20.0 was used to perform calculations [16, 17].
Results
Cohort description
The mean (SD) age of our cohort of 228 women was 63.9 (7.2) years, and 21.5% (n = 49) were older than 70 years. The majority of the patients (96%) were post-menopausal. The mean (SD) BMI was 26 (4.1) with 61% either being overweight (BMI > 25) or obese (BMI > 30) [18]. There were very low rates of smoking (1%, n = 3) and alcohol consumption (1%, n = 3) in this cohort. Most patients had Stage II (56%) or Stage III (30%) breast cancer; none had Stage IV disease. Most patients had received adjuvant chemotherapy (64%) and radiation therapy (59%). Two-thirds of patients (75%) were on adjuvant hormonal therapy (Table 1).
NCD comorbidities
At the time of cancer diagnosis, 104/228 (46%) patients had type 2 diabetes. The majority of patients had hypertension 216/228 (95%), and 17/228 (8%) had IHD. The prevalence of other comorbidities was very low (heart failure (n = 1, 0.4%), cerebrovascular disease (n = 1, 0.4%), CKD (n = 2, 0.8%), COPD (n = 1, 1%)) (Table 2).
After a follow-up period of 12–24 months since diagnosis, 11/228 additional patients had a new diagnosis of type 2 diabetes, totalling 115/228 (50%) with type 2 diabetes compared to pretreatment (p < 0.001). Also of note, 11 patients were newly diagnosed with dyslipidaemia compared to pretreatment (p < 0.01). Only two new patients developed IHD, and one additional patient developed heart failure during this follow-up period, compared to pretreatment (p = 0.62, p = 0.62, respectively). Other comorbidities including cerebrovascular disease, CKD, liver cirrhosis and COPD had a very low prevalence and did not change significantly post treatment (Table 2).
Table 1. Cohort details on female breast cancer patients at the NCISL with NCDs.
Table 2. NCDs and care provision in female breast cancer patients at the NCISL.
Osteoporosis screening using DXA scanning was very low at breast cancer diagnosis 21/228 (9%), but a larger proportion were screened at post cancer treatment follow-up 112/228 (49%, p < 0.001). However, the majority of patients 116/228 (51%) were still not screened for osteoporosis pre- or post-cancer diagnosis. Most patients on aromatase inhibitors (AI) 74/86 (86%) were screened using the DXA scan. Screening for other cancers also remained low in this cohort; only 95/228 (42%) were screened for other cancers (Table 2).
The majority of these patients were followed up by a government hospital-based clinic outside of the NCISL (98/228 (43%)), or by their primary care provider (80/228 (35%)). Fifty-two patients (23%) saw a specialist in the private sector regarding their comorbidities. Following the completion of their cancer treatment, 14/228 (6%) of patients had follow-up for medical comorbidities through a specialist medical clinic that is now available on site at the NCISL (Table 2). Some patients attended more than one of the above clinics.
Discussion
To the authors’ knowledge, this is the first study in Sri Lanka which describes the prevalence and care provision of comorbidities among patients with breast cancer. There are several important findings from this study. Firstly, hypertension is the most prevalent comorbidity in our cohort. Secondly, type 2 diabetes and dyslipidaemia are the two most common diagnoses that patients acquire post-treatment among patients with a pre-existing comorbidity at baseline. Thirdly, despite the cardiotoxicity risk of some breast cancer treatments, rates of heart failure and IHD are low. Fourthly, screening rates for common conditions like osteoporosis and other cancers remain very low. Finally, primary care and hospital medical clinics play a pivotal role in healthcare provision for NCD comorbidities. Access to an on-site specialist medical clinic at the cancer centre may further improve management of NCD comorbidity in this patient population.
As expected, the most common comorbidities found in breast cancer patients in Sri Lanka were hypertension and type 2 diabetes. The age-adjusted community prevalence of hypertension in all Sri Lankan adult females is 24% [19], and the prevalence of diabetes in the western province in Sri Lanka, where the NCISL is located, was 19% [20]. Also, the presence of two or more cardiovascular risk factors (including type 2 diabetes, hypertension, dyslipidaemia, obesity) during or after cancer treatment has been found to increase the risk of developing cardiac dysfunction [9]. It is, therefore, prudent to recognise, treat and manage these risk factors efficiently and effectively because of their influence on the overall prognosis [13]. Although our follow-up period was only 12–24 months, the rates of IHD and heart failure were notably low in our study. It is promising to see a low incidence of these comorbidities among these cancer survivors although these numbers may be underestimated due to a lack of active surveillance of IHD or heart failure for non-symptomatic patients. It is also possible that some of these cardiac complications may take longer to manifest. For example, patients with diabetes often have asymptomatic silent ischaemia that goes unrecognised [21]. Given the high rates of cardiovascular risk factors, these patients remain vulnerable to IHD and heart failure [9]. Similarly, the rates of CKD, cirrhosis and COPD were notably low and did not change post treatment.
Our study highlights low rates of screening for osteoporosis and other cancers beyond the index breast cancer diagnosis. Although the majority of patients in this study were postmenopausal, less than 10% of our cohort had been screened for osteoporosis using a DXA scan pre-treatment. This emphasises the need to screen more patients for osteoporosis in this patient group [22].
The majority of patients in our cohort did not undergo screening for other cancers. We would have expected this cohort who regularly attended the primary cancer treatment centre with all resources needed for cancer screening to have had higher incidence of screening tests compared with the general population of a similar age distribution, who do not have ready access to cancer screening services. Breast cancer patients are not only prone to develop recurrence or a synchronous breast cancer but are at an increased risk of developing other cancers. It has been suggested that his may occur because of a genetic predisposition [23] or through interactions with cancer therapies, such as the interaction between endometrial cancer with tamoxifen [24]. The NCISL offers ultrasound scanning of endometrial thickness in patients who are on tamoxifen and also scans for breast cancer recurrence despite no formal protocol. Given that national guidelines for cancer screening are still in development in Sri Lanka, the oncology follow-up clinic is ideally suited to screen for other cancers in these high-risk patients.
This study highlights the pivotal role played by government hospital-based clinics and primary care providers in care provision and managing NCD comorbidities in Sri Lanka. The majority of patients had access to either of these healthcare resources and when needed, sought a specialist. The availability of a specialist medical clinic on site at the NCISL compliments these primary care providers, who often oversaw patients with complex NCD comorbidities. Healthcare seeking in Sri Lanka is often reflexive and symptom based with limited self-initiation of primary prevention [25]. Often there is no referral system that is mandated to see a specialist [26]. Furthermore, the diagnosis of cancer may dilute other primary care follow-up, as it is the more pressing health concern. For these reasons, any healthcare visit including follow-up at the oncology clinic is an opportunity to discuss and implement primary and secondary preventative measures. Acknowledging the high-volumes of patients that are seen in these clinics, we propose the recommendations highlighted in Table 3 based on the Ministry of Health guidelines for managing NCDs [27]. These can easily be incorporated as a preprinted checklist that would make assessments more standardised and time efficient. This has potential to significantly reduce inter-clinician variability without diluting the primary focus of the visit to the cancer clinic. The utility of this checklist can be validated in different settings including a busy outpatient setting like the NCISL.
There are several strengths of this study. We are not aware of any existing literature that describes the common comorbidities and their healthcare delivery among breast cancer patients in Sri Lanka. This was done using a real-world inception cohort with patients presenting to NCISL, which is representative of all breast cancer patients in the country given the wide sociodemographic distribution presenting to this centre. Eligible breast cancer survivors who did not have one or more preexisting comorbidities (n = 192) were excluded in this study as our objective was to describe care provision in patient with preexisting comorbidities. We acknowledge that it would be useful to follow patients without comorbidities and we plan to do so in future studies using this longitudinal cohort as a comparator group. Also, future work with longer follow-up time beyond 24 months of diagnosis will capture high-quality important data that may have policy implications. Another limitation of this study is that baseline diagnoses were based on a medical assessment by a medical doctor and were not directly confirmed by investigations potentially leading to misclassification. However, we have made every effort to verify diagnoses using direct communication with the patients which would have minimised the impact of such misclassification. This study is subject to recall bias especially with regard to remote health concerns resulting in potential underestimation in our results.
Table 3. Proposed assessment for NCD in a busy cancer clinic.
Conclusion
This study highlights the interplay of NCDs, especially CVD risk factors with cancer and its treatment. Hypertension was the most prevalent comorbidity in our breast cancer patient cohort, while type 2 diabetes and dyslipidaemia were the most common diagnoses accrued post-treatment. This study recognises the actionable opportunity to scale up the screening and treatment of NCD within a busy cancer clinic. Our findings are generalisable to similar resource setting both regionally and globally.
Conflicts of interest
The authors state that there are no conflicts of interest.
Funding
None.
References
1. Bray F, Ferlay J, and Soerjomataram I, et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA: Cancer J Clin 68 394–424
2. Torre LA, Siegel RL, and Ward EM, et al (2016) Global cancer incidence and mortality rates and trends – an update Cancer Epidemiol Prev Biomarkers 25 16–27 https://doi.org/10.1158/1055-9965.EPI-15-0578
3. Steiner E, Klubert D, and Knutson D (2008) Assessing breast cancer risk in women Am Fam Phys 78 1361–1366
4. Mehta LS, Watson KE, and Barac A, et al (2018) Cardiovascular disease and breast cancer: where these entities intersect: a scientific statement from the American Heart Association Circulation 137 e30–e66 https://doi.org/10.1161/CIR.0000000000000556 PMID: 29437116 PMCID: 6722327
5. Bray F, Jemal A, and Grey N, et al (2012) Global cancer transitions according to the human development index (2008–2030): a population-based study Lancet Oncol 13 790–801 https://doi.org/10.1016/S1470-2045(12)70211-5 PMID: 22658655
6. Fernando A, Jayarajah U, and Prabashani S, et al (2018) Incidence trends and patterns of breast cancer in Sri Lanka: an analysis of the national cancer database BMC Cancer 18 482 https://doi.org/10.1186/s12885-018-4408-4 PMID: 29703165 PMCID: 5924495
7. National Cancer Control Programme (2018) Cancer incidence data Sri Lanka 2014 [https://www.nccp.health.gov.lk/storage/post/pdfs/Cancer_Incidence_in_Sri_Lanka_2014.pdf] Date accessed: 28/10/20
8. Parry C, Kent EE, and Mariotto AB, et al (2011) Cancer survivors: a booming population Cancer Epidemiol Prev Biomarkers 20 1996–2005 https://doi.org/10.1158/1055-9965.EPI-11-0729
9. Armenian SH, Lacchetti C, and Barac A, et al (2017) Prevention and monitoring of cardiac dysfunction in survivors of adult cancers: American Society of Clinical Oncology Clinical Practice Guideline J Clin Oncol 35 893–911 https://doi.org/10.1200/JCO.2016.70.5400
10. World Health Organization (2019) Status, determinants and interventions on cardiovascular disease & diabetes in Sri Lanka: desk review of research 2000–2018
11. Lenneman CG and Sawyer DB (2016) Cardio-oncology: an update on cardiotoxicity of cancer-related treatment Circulation Res 118 1008–1020 https://doi.org/10.1161/CIRCRESAHA.115.303633 PMID: 26987914
12. Zamorano JL, Lancellotti P, and Rodriguez Muñoz D, et al (2016) 2016 ESC position paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC Committee for Practice Guidelines: the task force for cancer treatments and cardiovascular toxicity of the European Society of Cardiology (ESC) Eur Heart J 37 2768–27801 https://doi.org/10.1093/eurheartj/ehw211 PMID: 27567406
13. Haque R, Prout M, and Geiger AM, et al (2014) Comorbidities and cardiovascular disease risk in older breast cancer survivors Am J Managed Care 20 86
14. Wijeratne DT, Gunasekara S, and Booth CM, et al (2020) Patterns of cancer care in Sri Lanka: assessing care provision and unmet needs through an electronic database J Cancer Policy 25 100243 https://doi.org/10.1016/j.jcpo.2020.100243
15. Fagerland MW, Lydersen S, and Laake P (2013) The McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional BMC Med Res Methodol 13 91 https://doi.org/10.1186/1471-2288-13-91 PMID: 23848987 PMCID: 3716987
16. George D and Mallery P (2019) IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference (London: Routledge)
17. Inc S (1990) SPSS reference guide SPSS (Atlanta: Thrift Books)
18. Laughton G, Buchholz A, and Ginis KM, et al (2009) Lowering body mass index cutoffs better identifies obese persons with spinal cord injury Spinal Cord 47 757–762 https://doi.org/10.1038/sc.2009.33 PMID: 19350042
19. Katulanda P, Ranasinghe P, and Jayawardena R, et al (2014) The prevalence, predictors and associations of hypertension in Sri Lanka: a cross-sectional population based national survey Clin Exp Hypertens 36 484–491 https://doi.org/10.3109/10641963.2013.863321 PMID: 24433043
20. Ranasinghe P, Kulatunga A, and Constantine G, et al (2009) Ethnic and province specific prevalence of diabetes mellitus in Sri Lanka-Sri Lanka diabetes and cardiovascular study Sri Lanka J Diabetes Endocrinol Metab 1 2–7
21. Chiariello M and Indolfi C (1996) Silent myocardial ischemia in patients with diabetes mellitus Circulation 93 2089–2091 https://doi.org/10.1161/01.CIR.93.12.2089 PMID: 8925575
22. Shapiro CL, Van Poznak C, and Lacchetti C, et al (2019) Management of osteoporosis in survivors of adult cancers with nonmetastatic disease: ASCO clinical practice guideline J Clin Oncol 37 2916–2946 https://doi.org/10.1200/JCO.19.01696 PMID: 31532726
23. Howlader N, Noone A, and Krapcho M, et al (2016) SEER Cancer Statistics Review, 1975–2013 (Bethesda: National Cancer Institute) pp 19
24. Lavie O, Barnett-Griness O, and Narod S, et al (2008) The risk of developing uterine sarcoma after tamoxifen use Int J Gynecol Cancer18 352–356 https://doi.org/10.1111/j.1525-1438.2007.01025.x PMID: 18334013
25. Russell S (2005) Treatment-seeking behaviour in urban Sri Lanka: trusting the state, trusting private providers Social Sci Med 61 1396–1407 https://doi.org/10.1016/j.socscimed.2004.11.077
26. Senanayake S, Senanayake B, and Ranasinghe T, et al How to strengthen primary health care services in Sri Lanka to meet the future challenges J College Community Phys Sri Lanka 23
27. MOH Nu (2018) Companion to screening and managment of NCDs in primary care in Sri Lanka Care ed T MoHaL (NCD uint MOH/SLCE/SLMA/WDF /SLDC: MOH)
