Medical oncology in India: Workload, infrastructure, and delivery of care
CC BY-NC-ND 4.0 · Indian J Med Paediatr Oncol 2019; 40(01): 121-127
DOI: DOI: 10.4103/ijmpo.ijmpo_66_18
Abstract
Background: The growing burden of cancer within India has implications across the health system including operational delivery of cancer care and planning for human health resources. Here, we report the Indian results of a global survey of medical oncology (MO) workload in comparison to medical oncologists (MOs) in other low-middle- income countries (LMICs). Methods: An online survey was distributed through a snowball method through national oncology societies to chemotherapy-prescribing physicians in 22 LMICs. The survey was distributed to Indian MOs by the Indian Society of Medical and Pediatric Oncology and the National Cancer Grid of India. The workload was measured as the annual number of new cancer patient consults seen per oncologist. Results: One hundred and forty-seven oncologists from LMICs completed the survey; 82 from India and 65 from other LMICs. About 59% (48/82) of Indian MOs reported working exclusively in the private health system compared to 23% (15/65) of MOs in other LMICs (P < 0>1000 new consults/year was 24% (20/82) in India and 20% (13/65) in other LMICs (P = 0.530). The median number of patients seen in a full-day clinic was 35 in India and 25 in other LMCs (P = 0.003); 26% of Indian MO reported seeing >50 patients per day. Compared to other LMICs, Indian MOs worked more days/week (median 6 vs. 5, P < 0 class="i" xss=removed>P = 0.004) and had less annual leave for vacation (3 weeks vs. 4, P = 0.017). Conclusion: Indian MOs have higher clinical volumes and workload than MOs in other LMICs and substantially higher workload than MOs in high-income countries. Indian health policymakers should consider alternative models of care and increasing MO workforce supply to address the growing burden of cancer.
Publication History
Article published online:
08 June 2021
© 2019. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India
Abstract
Background: The growing burden of cancer within India has implications across the health system including operational delivery of cancer care and planning for human health resources. Here, we report the Indian results of a global survey of medical oncology (MO) workload in comparison to medical oncologists (MOs) in other low-middle- income countries (LMICs). Methods: An online survey was distributed through a snowball method through national oncology societies to chemotherapy-prescribing physicians in 22 LMICs. The survey was distributed to Indian MOs by the Indian Society of Medical and Pediatric Oncology and the National Cancer Grid of India. The workload was measured as the annual number of new cancer patient consults seen per oncologist. Results: One hundred and forty-seven oncologists from LMICs completed the survey; 82 from India and 65 from other LMICs. About 59% (48/82) of Indian MOs reported working exclusively in the private health system compared to 23% (15/65) of MOs in other LMICs (P < 0>1000 new consults/year was 24% (20/82) in India and 20% (13/65) in other LMICs (P = 0.530). The median number of patients seen in a full-day clinic was 35 in India and 25 in other LMCs (P = 0.003); 26% of Indian MO reported seeing >50 patients per day. Compared to other LMICs, Indian MOs worked more days/week (median 6 vs. 5, P < 0 class="i" xss=removed>P = 0.004) and had less annual leave for vacation (3 weeks vs. 4, P = 0.017). Conclusion: Indian MOs have higher clinical volumes and workload than MOs in other LMICs and substantially higher workload than MOs in high-income countries. Indian health policymakers should consider alternative models of care and increasing MO workforce supply to address the growing burden of cancer.
Introduction
The burden of cancer in India is growing, with recent estimates reporting 1.45 million new cancer cases per year.[1] Projections suggest that this figure will increase to 1.70 million by 2035.[2] Approximately 87% of these patients seek medical attention in advanced stages of disease. This contributes to India's very high mortality-incidence ratio of 0.68 which is substantially higher than that of high-income countries (HICs) (0.38).[1],[2] In addition to late-stage presentation, other factors that likely contribute to poor cancer outcomes in India include limited health system infrastructure, a scarcity of oncologists, and patients' inability to afford cancer treatment.[2]
Given the late stage of disease at diagnosis, the vast majority of the patients in India are treated with palliative therapy, and therefore, need to see a medical oncology (MO). The number of medical oncologists (MOs) in India is not known, but estimates from the membership of the Indian Society of Medical and Pediatric Oncology (ISMPO) suggest that they are <350>
We are not aware of any data regarding MO workload and delivery of care in the Indian context. Three studies have explored these issues in HICs.[3],[4],[5] In these three studies from New Zealand, the United States, and Australia, the MO caseload was 220–280 new patients/year. We have recently reported the results of a global analysis of MO workload in which we observed a striking difference in case volumes between HICs and low-middle income countries (LMICs).[6] A systemic therapy task force report commissioned in 2000 by the Cancer Care Ontario provided recommendations to ensure high-quality, sustainable cancer care. One of their key recommendations was a maximum caseload per medical oncologist of 160–175 new patient consults per year.[7] In India, there are no recommendations regarding the optimal caseload per medical oncologist.
To address this gap in knowledge, we report a subset analysis of a global study in which we describe: (1) the clinical workload of Indian medical oncologists compared to those of other LMICs; (2) available infrastructure and supports; and (3) delivery of clinical care in the Indian context. Data from this study will inform cancer policy and human resource planning in India.
Methods
Study population
We have recently reported the results of our global study of medical oncology (MO) workload.[6] The study population for the global study included any practicing physician who delivers chemotherapy; trainees were not eligible. The web-based survey was distributed using a modified snowball methodology to oncologists in 54 countries and 2 regional networks (Caribbean and Africa). The contact was preferentially directed to established national associations of medical oncologists; if this was not possible, we approached one personal contact per country to invite participation and distribute the survey through an informal national network. The survey was distributed to Indian MOs by the ISMPO and the National Cancer Grid (NCG) of India. The global study included 1115 participants from 65 countries. Eighty-two physicians from India participated in the study; they form the primary cohort described in the current analysis and were compared to 65 participants from other LMICs. This study was approved by the Research Ethics Board of Queen's University, Kingston, Canada.
Survey design and distribution
An online electronic survey questionnaire was developed through Fluid Surveys to capture the following information: participant demographics, clinical practice setting, clinical workload, and barriers to patient care. The survey was designed with the multidisciplinary input of the study investigators. A complete survey was then piloted and subsequently revised based on the feedback from 10 additional oncologists. The final survey included 51 questions and took 10–-15 min to complete.
Distribution of the global survey utilized two primary methods. The senior investigator Christopher M Booth (CMB) contacted individuals and regional oncology associations to create a broad distribution network. Whether the national contact was an association or an individual, they were provided with an electronic link to the survey to distribute to their national membership/network. These links were unique to each nation, but not individualized. The distributing partners were asked to provide the team with the number of survey recipients to ascertain national response rate for the survey. The survey was distributed in November 2016. A second reminder E-mail was sent through all national contacts in January 2017.
Statistical analysis
Countries participating in the global study were classified into LMIC, upper-middle countries (UMIC), and HICs based on the World Bank Criteria.[8] The results of respondents who identified India as their country of practice were extracted and analyzed as a single group. These results were then compared against the results from the other 21 LMICs that participated in the global study. The primary objective was to describe the workload of Indian oncologists compared to oncologists practicing in other LMICs. MO workload was defined as the annual number of new cancer patient consults seen per oncologist. All data were initially collected in Fluid Surveys and subsequently exported to SPSS. Data consisted of categorical, ordinal, and continuous formats, occasionally collected as ranges (e.g., <50 class="i" xss=removed>P < 0>
Results
Characteristics of the study participants
There were 147 complete responses from LMICs; 82 from India and 65 from other LMICs. The median age of respondents from India was 41 years; 83% (68/82) were male [Table 1]. Indian MOs were younger and more likely to be male than other LMICs. About 83% (68/82) of the Indian respondents were MOs and 6% (5/82) were clinical oncologists; the corresponding figures for other LMICs were 52% (34/65) and 37% (24/65) (P < 0 class="i" xss=removed>P < 0 class="i" xss=removed>P < 0>
Demographics |
India (n=82), n (%) |
Other LMICs (n=65), n (%) |
P |
---|---|---|---|
*Applicants could choose multiple responses to same question. Numbers do not always add to 100% due to small amounts of missing data. Responses are missing for years in practice (4), clinical practice setting system (1) and access to EMR (n=2). LMIC – Low- and middle‑income countries; EMR – Electronic medical record |
|||
Sex |
|||
Male |
68 (83) |
44 (68) |
0.031 |
Female |
14 (17) |
21 (32) |
|
Age (median) |
41 |
46 |
0.027 |
Years in practice (median) |
8 |
11 |
0.226 |
Specialty |
|||
Medical oncologist |
68 (83) |
34 (52) |
<0> |
Clinical oncologist |
5 (6) |
24 (37) |
|
Pediatric oncologist |
2 (2) |
1 (2) |
|
Hematologist |
4 (5) |
3 (4) |
|
Other |
3 (4) |
3 (5) |
|
Treatment offered |
|||
Chemotherapy only |
78 (95) |
38 (59) |
<0> |
Chemotherapy and radiation |
4 (5) |
27 (41) |
|
Years of postgraduate training (median) |
6 |
6 |
0.425 |
Completed training in home country |
|||
Yes |
79 (96) |
41 (63) |
<0> |
No |
3 (4) |
24 (37) |
|
Clinical practice setting system |
|||
Public |
23 (28) |
19 (30) |
<0> |
Private |
48 (59) |
15 (23) |
|
Both |
11 (13) |
30 (47) |
|
Setting* |
|||
Hospital inpatient |
79 (96) |
57 (88) |
0.061 |
Hospital outpatient |
61 (74) |
49 (75) |
0.890 |
Other outpatient |
12 (15) |
10 (15) |
0.899 |
Hospital type |
|||
General hospital |
39 (48) |
38 (59) |
0.189 |
Cancer hospital |
43 (52) |
27 (42) |
|
Radiotherapy on site |
|||
Yes |
69 (84) |
48 (74) |
0.124 |
No |
13 (16) |
17 (26) |
|
Palliative care on site |
|||
Yes |
59 (72) |
45 (69) |
0.719 |
No |
23 (28) |
20(31) |
|
Chemotherapy pharmacist on site |
|||
Yes |
44 (54) |
49 (75) |
0.007 |
No |
38 (46) |
16 (25) |
|
Training program in center |
|||
Yes |
49 (60) |
43 (66) |
0.426 |
No |
33 (40) |
22 (34) |
|
Supervise trainees |
|||
Yes |
64 (78) |
55 (85) |
0.314 |
No |
18 (22) |
10 (15) |
|
EMR |
|||
Yes |
54 (67) |
19 (30) |
<0> |
No |
27 (33) |
45 (70) |
|
Clinic notes* |
|||
Dictated |
10 (12) |
3 (5) |
0.146 |
Hand-written |
60 (73) |
60 (92) |
0.003 |
Typed |
40 (49) |
10 (15) |
<0> |
Service extenders* |
|||
Nurse |
54 (66) |
49 (75) |
0.210 |
Nurse practitioner |
30 (37) |
27 (42) |
0.540 |
Medical students |
10 (12) |
21 (32) |
0.003 |
Residents |
55 (67) |
46 (71) |
0.631 |
Other physicians |
27 (33) |
22 (34) |
0.907 |
India (n=82) |
Other LMICs (n=65) |
P |
|
---|---|---|---|
#P value significant. *Per full day of outpatient clinic; ^Among 58 and 42 respondents for Indian and other LMICs, respectively. 47 respondents were missing the number of days on‑call as they did not respond to this if they indicated that they were always on call. 16, 12, and 23 were missing the percentage of time spent on research, teaching, and administrative duties, respectively. Two were missing data for new patient consults. LMIC – Low‑ and middle‑income countries |
|||
Delivery of clinical care |
|||
Work week |
|||
Number of days worked/week (median) |
6 |
5 |
<0> |
Number of hours worked/week (median) |
51-60 |
41-50 |
0.004 |
Leave |
|||
Number of annual weeks of vacation (median) |
3 |
4 |
0.017 |
Number of annual weeks conference leave (median) |
2 |
2 |
0.654 |
On-call duties" |
|||
Number days on-call/month (median) |
5 |
5 |
0.826 |
Respondents on-call every night", n (%) |
41(71) |
18 (43) |
0.005 |
Allocation of duties |
|||
Percentage time on clinical duties (mean) |
67 |
59 |
0.025 |
Percentage time on research (mean) |
11 |
13 |
0.097 |
Percentage time on teaching (mean) |
10 |
13 |
0.008 |
Percentage time on administration (mean) |
9 |
13 |
0.017 |
Disease sites, n (%) |
|||
All cancers |
49 (60) |
44 (68) |
0.322 |
Breast |
15(18) |
15 (23) |
0.981 |
Lung |
15(18) |
11 (17) |
0.829 |
Gastrointestinal |
15(18) |
14 (22) |
0.623 |
Gynecologic |
15(18) |
10 (15) |
0.641 |
Head and neck |
14 (17) |
11 (17) |
0.322 |
Genitourinary |
8 (10) |
10 (15) |
0.641 |
Clinical volumes |
|||
Number of annual new consults (median), n (%) |
475 |
350 |
0.032 |
<100> |
2 (2) |
15 (23) |
|
101-250 |
19(23) |
12 (18) |
|
251-500 |
25 (30) |
14 (22) |
|
501-1000 |
15(18) |
10 (15) |
|
1001-1500 |
8 (10) |
6 (9) |
|
>1500 |
12 (15) |
7 (11) |
|
Number of patients seen per clinic day* (median), n (%) |
35 |
25 |
0.003 |
<10> |
6 (7) |
9 (14) |
|
10-20 |
15(18) |
22 (34) |
|
21-30 |
14 (17) |
11 (17) |
|
31-40 |
14 (17) |
8 (12) |
|
41-50 |
11 (13) |
7 (11) |
|
>50 |
22 (26) |
8 (12) |
|
Time spent per patient (median minutes) |
|||
New consult |
25 |
35 |
0.018# |
Chemotherapy treatment patient |
7.5 |
15 |
<0> |
- Sharma DC. Cancer data in India show new patterns. Lancet Oncol 2016; 17: e272
- Mallath MK, Taylor DG, Badwe RA, Rath GK, Shanta V, Pramesh CS. et al. The growing burden of cancer in India: Epidemiology and social context. Lancet Oncol 2014; 15: e205-12
- Bidwell S, Simpson A, Sullivan R, Robinson B, Thomas W, Jackson C. et al. A workforce survey of New Zealand medical oncologists. N Z Med J 2013; 126: 45-53
- Balch C, Ogle JD, Senese JL. The national practice benchmark for oncology: 2015 report for 2014 data. J Oncol Pract 2016; 12: e437-75
- Blinman PL, Grimison P, Barton MB, Crossing S, Walpole ET, Wong N. et al. The shortage of medical oncologists: The Australian medical oncologist workforce study. Med J Aust 2012; 196: 58-61
- Fundytus A, Sullivan R, Vanderpuye V, Seruga B, Lopes G, Hammad N. et al. Delivery of global cancer care: An international study of medical oncology workload. J Glob Oncol 2017; 4: 1-11
- Government of Ontario: Cancer Care Ontario 2000. The Systemic Therapy Task Force Report. Available from: https://www.archive.cancercare.on.ca/common/pages/UserFile.aspx?fileId=14436. [Last accessed on 2017 Dec 18].
- World Bank. World Bank Country and Lending Groups 2017. Available from: https://www.datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups. [Last accessed on 2017 Dec 18].
Address for correspondence
Publication History
Article published online:
08 June 2021
© 2019. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India
References
- Sharma DC. Cancer data in India show new patterns. Lancet Oncol 2016; 17: e272
- Mallath MK, Taylor DG, Badwe RA, Rath GK, Shanta V, Pramesh CS. et al. The growing burden of cancer in India: Epidemiology and social context. Lancet Oncol 2014; 15: e205-12
- Bidwell S, Simpson A, Sullivan R, Robinson B, Thomas W, Jackson C. et al. A workforce survey of New Zealand medical oncologists. N Z Med J 2013; 126: 45-53
- Balch C, Ogle JD, Senese JL. The national practice benchmark for oncology: 2015 report for 2014 data. J Oncol Pract 2016; 12: e437-75
- Blinman PL, Grimison P, Barton MB, Crossing S, Walpole ET, Wong N. et al. The shortage of medical oncologists: The Australian medical oncologist workforce study. Med J Aust 2012; 196: 58-61
- Fundytus A, Sullivan R, Vanderpuye V, Seruga B, Lopes G, Hammad N. et al. Delivery of global cancer care: An international study of medical oncology workload. J Glob Oncol 2017; 4: 1-11
- Government of Ontario: Cancer Care Ontario 2000. The Systemic Therapy Task Force Report. Available from: https://www.archive.cancercare.on.ca/common/pages/UserFile.aspx?fileId=14436. [Last accessed on 2017 Dec 18].
- World Bank. World Bank Country and Lending Groups 2017. Available from: https://www.datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups. [Last accessed on 2017 Dec 18].