Abstract
Classification and measurement issues—especially definitions and estimates of primary, secondary and tertiary care—are the major impediments to an informed discussion around type and quality of health spending in India. One area of concern worldwide has been the level of investment in primary care. This article reviews different definitions of primary, secondary and tertiary care, and applies a new methodology on sub-national budget data for classifying and estimating these aggregates. Government spending on health by five states of India is grouped into primary, secondary, tertiary, medical education, social security for health and administration applying the new methodology. The Detailed Demand for Grants of each state for 2014–2015, 2015–2016 and 2016–2017 was used for classifying budget items. Each line item is assigned to one of the six types of spending, with additional algorithms and assumptions, wherever a straightforward classification was not possible. The results indicate a lack of uniformity in spending across these six aggregates. However, states are spending a significant part of their health resources on primary care. The results and the methodology can pave the way for a much needed discussion around standardisation of definitions and formats for data collection on budget aggregates to track types of health spending.
Introduction
Significant debates and discussions have taken place—and continue to take place—around how much a country should invest on primary versus secondary and tertiary care. A common hypothesis—often reported in the Indian media—is that primary care is grossly underinvested (Somvanshi, 2018). Also, there is also a general perception that governments underspend on medical education leading to a severe human resource crunch in the health sector. These kinds of assertions are not generally accompanied by facts, i.e. volumes of investments on each of these functions.
One important reason for this is that defining levels of care is challenging across disparate health systems. The other challenge of course is the complexity of government budgets.
This article presents a budget-based methodology to classify total government expenditure on health into six categories including primary, secondary, tertiary, medical education, social security for health and administration.
Comparison of the estimated shares is done with results from similar previous research followed by a discussion on the significance of the results and the relevance of the approach for India.
Materials and Methods
Definitions of Type of Care: Brief Review
One early definition of primary, secondary and tertiary health care classifies interventions to prevent a problem from occurring as primary, interventions at a stage before problem is manifested as secondary and remediation to reverse manifestations of problem as tertiary (Starfield, 1996).
UK’s National Institute for Health and Care Excellence (NICE) defines primary health care as health care which is delivered outside hospitals, but secondary care is to be provided in hospitals. Tertiary care is defined as care that requires complex treatments as stated in (NICE, 2018).
The American Academy of Family Physicians (AAFP) defines primary care as care that is provided by ‘physicians specifically trained for and skilled in comprehensive first contact and continuing care for persons with any undiagnosed sign, symptom, or health concern’. This type of care includes health promotion, disease prevention, health maintenance, counselling, patient education, diagnosis, and treatment of acute and chronic illnesses in a variety of settings (AAFP, 2018).
The first international declaration underlining the importance of primary health care is known as the Declaration of Alma-Ata, which was adopted in 1978. The emphasis on primary care was renewed with the World Health Report (WHO 2008) on primary health care, which advocated for a more balanced way of spending health resources and re-focusing on preventive and primary care as cited in the WHO report on primary health care. The idea that prevention and primary care can actually reduce expenditure on health spending for households is now widely accepted.
The other aspect—which is also related to the definitional issue—is that while levels of care is a clinical concept, government budgets that report annual allocations and expenditures comprise mostly uniform financial/accounting line items. Categorisation of health expenditure by levels of care would, therefore, require expertise in both clinical and financial concepts, as well as a thorough understanding of the health system. Researchers have thus largely stayed out of this categorisation issue due to the absence of any standard acceptable procedure of classification. Understandably, isolated attempts at classification could lead to very different results across studies, depending on the researchers’ understanding of the health systems and the resultant assumptions used for classification.
In India, the approach has been to define different kinds of care based on the level and type of facility at which the care is provided. The Five-Year Plans of the erstwhile Planning Commission in India defined primary health care infrastructure as those that provide the ‘first level of contact between the population and health care providers up to and including primary health care physicians and forms the common pathway for implementation of all the health and family welfare programmes in the country’ (Planning Commission, 1999). Only those services requiring specialised care were to be referred to secondary or tertiary care.
An important point in this context is whether definitions of levels of care should be based on the type/level of the facility, or on the nature of services offered. The possibility of hospitals providing primary and secondary care has been discussed in the literature, and it is recognised that tertiary care hospitals often end up giving primary and secondary care due to availability and accessibility issues at lower tiers of hospitals and facilities in many countries according to Jamison et al. (2006). In India, the district hospitals and also urban hospitals were to serve as secondary care facilities, but the definition of secondary care always remained somewhat imprecise in all the official documents. In fact, the line between secondary and tertiary care has not been very clearly articulated in most major documents of the government. The commission on macroeconomics and health cited in Ministry of Health and Family Welfare (MoHFW 2005) defined secondary care to mean sub-district hospitals for every 500,000 population and district hospitals at district level. It estimated the cost of an essential package with only primary and secondary care facilities included in it and visualised that much of the services for prevention and treatment of non-communicable disease such as vascular diseases, cancer and mental illnesses could be done in the secondary facilities.
The High Level Expert Group (HLEG) on Universal Health Coverage (UHC) also seemed to indicate that tertiary care facilities are those that require super specialty services (Planning Commission, 2011).
Spending on Type of Care in India: Recent Estimates
The National Health Accounts of India provides health care expenditures in India based on the System of Health Accounts 2011 which is a global standard framework for producing health accounts. It divides current health expenditure of the country into five categories: primary (P), secondary (S), tertiary (T), governance & supervision and ‘not classified elsewhere’ (NHSRC, 2016, 2017). Table 1 presents the shares for each of these for these years.
National Health Accounts Estimates
A recent exercise in resource tracking for primary health care for Uttar Pradesh (UP) and Bihar shows that for both these states, the share of P was much higher than those reported in Table 1, while the shares of S and T were much lower. For Bihar, these were 69, 10 and 6 respectively and for UP the shares were 61, 17 and 3 respectively (Bhawalkar et al., 2016).
Spending on Type of Care: A New Methodology
Unlike the NHA classification, the aim here was to classify total expenditure (current + capital), not merely current expenditure, across six broad heads: primary (P), secondary (S), tertiary (T), education (E), social security (SS) and administration (A). SS is a notable addition to the standard classifiers, the rationale for its inclusion being the plethora of schemes—insurance, assurance, conditional cash transfers, etc.—that have been initiated by states.
A detailed analysis of the budget data for Bihar and UP—from the Empowered Action Group (EAG) of states—West Bengal and Himachal Pradesh—from among states that are doing fairly well on some of the health indicators—and Tamil Nadu—which is leading in almost all the health indicators, was undertaken.
The main document used was the Detailed Demand for Grants (DDG), which is presented to the state legislative assembly by the finance departments of each state. Each demand contains totals for ‘voted’ and ‘charged’ expenditure, the ‘revenue’ and the ‘capital’ expenditure and the gross total expenditure for which the demand is presented. Expenditure which under the provisions of the Constitution is subject to the vote of the Legislature is shown as ‘Voted’ and is different from expenditure which is ‘Charged’ (on the Consolidated Fund of India or of a State or Union Territory Government). It also presents estimates of expenditure under different units (levels) of classification, namely ‘major head’, ‘minor-head’, ‘sub-head’ and ‘detailed head’.
In this analysis, primary care was taken to be inclusive of prevention and promotion, and largely pertaining to the principle of first point of contact between patients and the health care system.
Secondary care included services requiring diagnostics and non-specialty hospitalisation, whereas tertiary care was all major hospitalisations including those requiring super speciality services.
Alternate systems of medicines were mainly classified under primary and sometimes under secondary, if hospitals were mentioned.
The need for a separate set of algorithm for classification can be better understood if one is familiar with the basic structure of the DDG. One such example from the state of Tamil Nadu state is given in Appendix A. For the state health departments, the DDG is useful for arriving at not only the total expenditure on health and family welfare but also on various pre-defined heads of expenditure. However, it is not very useful for further separation of expenditures across the six categories, especially P, S and T, which is relevant in the context of discussions on health policy priorities.
In the DDG, the budget items are divided in four rows across ‘major heads’, ‘sub-major heads’ and ‘minor heads’, with the title or functional description of the actual item of expenditure given out separately in another row labelled as sub-head or detailed head. Based on these four rows, it is possible to understand the exact nature of the item of expenditure in about half of the cases. But there remain cases that are not easily classifiable or are ambiguous and require further investigation and/or assumptions to separate these into logical categories. The exercise requires going through each line item of the budget to assign P, S, T, E, SS or A. For example, there are 688 line items in the West Bengal budget in a typical year.
For the straightforward cases the classification was done easily based on budget heads, but for the remaining ones, a set of algorithms were devised based essentially on knowledge about the nature of these services, sometimes facilitated by more disaggregated keyword searches based on stated line items. For administration, the classification given in the DDG was followed; in other words, wherever the reported classification mentioned ‘direction and administration’ as a minor head, those items were accepted under this category. For social security, the separation was not problematic since it was easy to separate out expenditures that pertained to health coverage schemes or programmes. For medical education, there were instances when expenditures of teaching colleges and hospitals were given together and had to be separated and apportioned to the relevant categories. The category medical education also included research. For the remaining items, the assumptions and algorithms adopted are given in Appendix B.
Some of the important methodological decisions are around expenditures incurred by general hospitals. These were separated into P, S and T based on shares derived from expenditures and volume of patient load based on a teaching hospital of national importance—All India Institute of Medical Sciences (AIIMS)—for which physical and financial details were available from their Annual Reports which are in the public domain. The estimates indicated that of the total expenditure incurred by (AIIMS), 61 per cent went for primary care, 14 per cent for secondary care and 25 per cent for tertiary care, respectively. This will be referred to as the ‘hospital ratio’ in the rest of the article, and has been used in cases where it was not possible to separate the expenditure of medical colleges and their attached hospitals.
Results
Distribution of Per Capita Government Health Expenditure Across Type of Spending 2016–2017 (Rs)

Change in Real Per Capita Spending Across Type of Spending (%)
There are differences in per capita expenditures across these 6 categories because total per capita expenditures vary across states, due to size of population as well as prioritisation of health. Thus, for example, Himachal Pradesh spends the most per capita on health followed by Tamil Nadu. The per capita spending on primary care is also high in these two states compared to the other states.
Table 3 presents changes in real per capita health spending across the six categories between 2014–2015 and 2015–2016, and 2015–2016 and 2016–2017, respectively.
The first point is that changes vary significantly over years and across states. Thus, for instance, while West Bengal and Tamil Nadu see a decline in spending under primary care, Himachal Pradesh and Uttar Pradesh see a significant increase in the latter period. Spending under secondary care increased significantly only for Himachal Pradesh and Tamil Nadu. Tertiary care saw a huge increase for Himachal Pradesh and somewhat modest one for Uttar Pradesh between these two periods.
Among other results, the maximum variations in per capita spending between 2014–2015 and 2015–2016 were seen in social security. For Bihar and Himachal Pradesh, per capita spending in social security increased by 103 per cent and 55 per cent, respectively, whereas Uttar Pradesh per capita spending declined by 36 per cent. Social security for West Bengal saw a massive 305 per cent jump between 2015–2016 and 2016–2017 due to the launch of Swasthya Sathi in 2017, a basic health cover for secondary and tertiary care in West Bengal.
Overall, Bihar and West Bengal showed the most change in per capita spending at 22 and 19 per cent, respectively, between the first and second period, and Himachal Pradesh and Uttar Pradesh between the second and the third period.
Figure 1 indicates the shares of these six categories in total health spending for the year 2016–2017. Primary care remains the major component, ranging from 41 per cent in West Bengal to 60 per cent in Bihar. While West Bengal and Himachal Pradesh have lower shares of primary care in their health spending, generally, primary care is the most important component of total spending in all the states.
The share of tertiary care seems almost the same across the five states except Tamil Nadu where the share is roughly half of the others.
Tamil Nadu has a fairly high share of social security at 18 per cent and stands out among these five states in this respect. The share of secondary care is higher than tertiary care or the same. Spending on medical education is very similar across the states and not insignificant either (around 10–15 per cent).
The results are understandably different from the NHA results because the classification here is sixfold and includes capital expenditure.
Discussion
Should states raise their spending on primary care? By how much? And how much is adequate? These are questions that are difficult to answer in the absence of robust data, evidence and acceptable benchmarks of spending. The results reported here indicate that most of these five states are spending a significant part of their total health resources on primary care. This has to be qualified by the statement that for states with a modest overall envelope of health resources, the absolute level of spending would still remain rather low. Ultimately, states will have to work out what is optimal spending for them, for which they will have to know how much is being currently spent.
By re-estimating amounts spent across type of care, this article hopes to achieve three objectives: one, to present a fresh set of estimates on spending on primary care mainly, but also on the other key aggregates mentioned above. Second, to initiate discussion and debate on the definitions of each of these items and finally, to move the discourse beyond the current preoccupation with expenditure aggregates, to the nature and quality of spending.
One clear reallocation that occurred in the above classification came from what has hitherto been classified as tertiary care, that is, hospital spending. The fact that a large part of that spending is on primary care has both merits and demerits. Clearly, all tertiary facilities can and should offer primary care for within-facility referral system to work well. However, if by design the primary care was not built in at inception, there would be a compulsion to give primary care when actually it is not efficient to give it after a point in terms of patient load (Khayyam et al., 2015). The breakdown of the referral system in the country is evidenced by the large numbers seeking what is basically primary health care at tertiary level hospitals, leading to overcrowding in these institutions, strain on their resources and a consequent decline in the quality of care.
The status of alternative systems of medicine under Ayurveda, Yoga, Unani, Siddha and Homeopathy (AYUSH) in overall health spending also needs re-examination. Unlike earlier assumption, not all AYUSH expenditures can be called primary because there are a number of hospitals offering secondary care as well. A non-negligible amount of AYUSH care comes from household out-of-pocket expenditures especially in the absence of allopathy-based primary and secondary government facilities.
As for composition of spending under each of these categories, far less discussions and debates take place around what goes into each of these baskets and how. Clearly, primary care is not getting too low a share in total spending in these states. However, very basic health outcomes in states such as Bihar and Uttar Pradesh continue to be sub-optimal. Quantifying what is being spent on each of these items, as has been attempted here is important, especially since very few such estimates exist in the country. At the same time, having estimated the levels and shares, it is equally important to go to the next set of questions around what the funds are spent on. These pertain to efficiency and quality, and include important concerns about waste and leakages as well.
However, composition questions cannot be addressed without first addressing the level questions. It is hoped that the methodology and results in this article can result in a healthy debate around definitions and measurements, and trigger additional research that might ultimately influence how government budgets are organised in a uniform manner across states, and how compilation and reporting of budget aggregates gets done in the country. The basic format of budget data, in this case health budget data, has not changed over the years and is not suitable for in-depth analysis of health sector priorities. With changing priorities and systems, it is important to focus on collection, collation, compilation and dissemination of budget data in a manner that is amenable and useful for informed policymaking. Clearly, changing budget formats is a formidable task calling for expert views and hard decisions; however, this remains an important area of reform in the health sector.
Footnotes
Acknowledgements
The authors would like to express their sincere gratitude to the Bill and Melinda Gates Foundation (BMGF) without whom this study would not have been made possible. The authors would further like to acknowledge the support received by Mr Diwas Singh Saun, Mr Devmani Upadhyaya and Ms Anjana Singh in the completion of this research study.
Declaration of Conflicting Interests
The authors declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: There is no conflict of interest.
Funding
The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This research was funded by the Bill & Melinda Gates Foundation (BMGF).
Note
Appendix A
Appendix B
| S No. | Assigned weights 1 | Rationale | Examples |
| 1 | A | Purely administrative in nature. Includes all items with direction and administration as the minor head or sub-head. | Health Directorate |
| 2 | A50P25S25 | For administrative services including training, half assigned to administration, and remaining divided equally between P and S on the basis of the type and purpose of training. | Administration & Training Centre under the minor head Unani |
| 3 | E | Includes all items that comes under the sub-major head Medical Education Research & Training (MERT). Also includes those medical colleges whose expenditures have been reflected separately from their attached hospitals. | Stanley Medical College Chennai, Tamil Nadu Health Statistics and Evaluation |
| 4 | E50P13S12T25 | Items under MERT, but indicates use of all three services; half assigned to education; remaining divided among P, S and T based on hospital ratio. | Institute of Heart Diseases |
| 5 | E50P17S17T16 | Items under MERT, but relates to services that are universal. Half assigned to education and the remaining half distributed equally among P, S and T. | State Blood Transfusion Service |
| 6 | E50P25S25 | Items under MERT and pertaining to alternate systems of medicine. Half allocated for education and the remaining half divided between P and S. | Homoeopathy Medical College |
| 7 | E50P30S7T13 | Items under MERT where there is no separate budget line to account for the attached hospital load. Also dental colleges which have an education as well as clinical component. Half allocated for education and the remaining distributed across P, S and T based on the hospital ratio. | Dr Rajendra Prasad Medical College Tanda, Himachal Pradesh, Dental College Patna, Bihar |
| 8 | E50P50 | Items under MERT, but expenditures indicate some component of primary care. | Swine Flu Development Studies |
| 9 | E50S25T25 | For items that pertained to specialist care, half allocated for education because it was related to MERT even when it was not under the sub-major head of MERT. The remaining half equally divided among secondary and tertiary. | J. K. Institute of Radiology & Cancer Research Kanpur, UP, Development of Chittaranjan National Cancer Institute, West Bengal |
| 10 | E50S50 | Items under MERT, but indicated secondary care. | Centre for Biomedical Magnetic Resonance Lucknow, UP |
| 11 | E50SS50 | Items under MERT that also indicated health coverage. Half allocated for education and remaining half to social security under ESIS. | Government Medical College and ESIC Hospital Coimbatore |
| 12 | E50T50 | Items under MERT that indicated super specialty treatment also. Equally divided between E and T. | Bangur Institute of Neurosciences, West Bengal |
| 13 | P | Deals purely with primary health care. Includes all items with family welfare as a sub-major head, primary health centres and health sub-centres, communicable diseases, etc. | TB Prevention Scheme |
| 14 | P25S25T50 | Services that contain all elements, but slightly more tertiary care. District Hospitals with speciality treatment facilities. | Expenditure on Trauma Centres, Plastic Surgery & Burns Unit-Zila Yojana |
| 15 | P25S50T25 | Services that are mainly secondary in nature, but also contain elements of P and T. | Upgradation of CHC Sub-district Hospital |
| 16 | P34S33T33 | Equally divided among primary, secondary and tertiary where it pertains to a health system function that is of universal importance and therefore utilised for delivering health care at all levels. | Health System Projects (Strengthening under UPHSSP) |
| 17 | P50S50 | Equally divided among primary and secondary. It includes clinics, dispensaries, hospitals under alternate systems of medicine, that is, Ayurveda, Unani, Homeopathy, etc. | Homeopathic Hospital |
| 18 | P61S14T25 | Applied to all tertiary care hospitals based on the hospital ratio calculated from a large general hospital data. Includes all items with hospitals and dispensaries as the sub-major head, contains the term ‘hospitals’ anywhere in the line item, hospitals under medical colleges that are separately mentioned. | Nehru Hospital Gorakhpur, UP, Eye Hospital Sitapur, UP |
| 19 | S | Purely secondary care facilities | Establishment of Molecular diagnostic Laboratory |
| 20 | S40T60 | Services requiring inpatient stay, but containing elements of secondary care | Establishment of Cancer Treatment Centres |
| 21 | SS | Purely social security schemes. Includes all items under sub-major head social security, societal safety and social welfare | State Illness Assistance Fund/Society |
| 22 | T | Purely tertiary care facilities | Surgery Building, Cadaver Transplant Programme |
