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Cost Per DALY Averted in a Surgical Unit of a Private Hospital in India

Abstract

Backgrounds

Cost-effectiveness analysis plays an important role to guide resource allocation decisions, however, information on cost per disability-adjusted life year (DALY) averted by health facilities is not available in many developing economies, including India. We estimated cost per DALY averted for 2611 patients admitted for surgical interventions in a 106-bed private for-profit hospital in northern India.

Methods

Costs were calculated using standard costing methods for the financial year 2012–2013, and effectiveness was measured in DALYs averted using risk of death/disability, effectiveness of treatment and disability weights from 2010 global burden of disease study.

Results

During the study period, total operating cost of the hospital for treating surgical patients was USD 1,554,406 and the hospital averted 9401 DALYs resulting in a cost per DALY averted of USD 165.

Conclusions

Even though this study was based on one hospital in India, however, the hospital is a private hospital which is expected to have less surgical case load compared to government health facilities, cost per DALY averted for the surgical interventions is much lower than the cost-effectiveness threshold for India (USD 1508 in 2012). This study therefore provides evidence to re-think the common notion that surgical care is expensive and therefore of lower value than other health interventions.

Introduction

Basic surgical care is not a priority in the national policies of many low- and middle-income countries. One reason is that policy makers face difficult choices in allocating scarce resources, and surgical care is perceived to be expensive and therefore of lower value than other health interventions. Cost-effectiveness analysis could clarify the return on investment in surgical care, but cost-effectiveness ratios for surgical services are not available in many developing economies, including India. The cost-effectiveness studies available in low and middle-income countries range from procedure-specific estimate [14] to the existence of surgical facilities [58] to the potential implementation of surgical interventions internationally [912]. Among these, studies examining cost-effectiveness of a surgical unit are sparse [58]. There are no such studies in India and the present study is an attempt towards this end which will add to the literature of cost per DALY averted by surgical unit in developing countries.

Methods

Study hospital

We selected a 106-bed for-profit private hospital serving a semi-urban population in Uttar Pradesh as our study hospital. The hospital was chosen based on cooperation, data availability and accessibility.

Sources of data

Data were collected from the hospital for April 2012 through March 2013. The hospital had computerized data for all surgical cases during the study period. Because of patient confidentiality, we did not review the medical records manually; hospital staff extracted the required data from the hospital database. We received data on age, sex, length of stay, diagnosis and/or procedure for all surgical interventions during the study period. We received complete information for 2643 surgical admissions, which accounted for 30 percent of all admissions during the study period.

Cost data were extracted from the accounts and activity reports of the hospital. Recurrent costs, which included salaries, drugs and medical supplies, office supplies, fuel and lubricants, laboratory and radiology materials, communications and utilities (water, electricity, telephone), were collected from the hospital’s annual expenditure report. Department lists of equipment were collected from the hospital stock register.

Cost and effectiveness estimation

Total operating cost of the hospital was calculated using the standard costing method and the methodology followed in hospital costing studies in India [13, 14]. The first step was to classify hospital departments into several patient care cost centres (PCCs) such as inpatient department, operating theatre, etc. and supporting cost centres (SCCs) such as administration, laundry, kitchen, etc. For each cost centre, we then calculated the direct cost, defined as the sum of human resources, capital and all other recurrent costs. Human resources cost included salaries and benefits of all staff working during the study period. For staff who work in more than one cost centre, human resources costs were apportioned based on their working time in each cost centre as reported by the cost centre supervisor. For example, to calculate the human resources cost of the operating theatre, we considered the proportion of time spent by the surgeons in the operating theatre as it is expected that the surgeons will also spend time in the outpatient and inpatient department and often emergency department. We apportioned their times based on their work distribution in various departments. However, as the anaesthetists, operating theatre nurses work only in the operating theatre; we put their full time in operating theatre. Capital cost included annualized discounted depreciation of equipment and vehicles. Based on government of India income tax depreciation rule, we calculated useful life of building, equipment and furniture [15]. The useful life of furniture and fittings was assumed to be 10 years and machinery and plant 7 years. However, for some lifesaving medical equipment such as heart lung machine, colour doppler, ventilator, etc. the useful life was 2.5 years [15]. A 3 % interest rate was used to calculate the cost of depreciable assets [16]. The direct costs of SCCs were then distributed to PCCs using the simultaneous allocation method [13]. There are several methods available for allocating direct costs of SCCs to PCCs such as direct method, step down method and simultaneous allocation method. In simultaneous allocation method, direct costs of SCCs are allocated to all other SCCs and PCCs in a step-wise fashion and the procedure is repeated a number of times to eliminate residual unallocated amounts. It solves a set of simultaneous linear equations to determine the allocations [13]. Finally, we calculated the total operating cost of the hospital and different clinical departments such as inpatient department and operation theatre by adding the direct cost of PCCs and distributed direct cost of SCCs. Total operating cost of each department was then divided by the number of outputs of that department to get unit cost of the department. As surgical patients contributed 24 % of total bed days of the hospital, we adjusted the operating cost of inpatient department using this percentage. However, as we considered all surgical admissions in our study, the full cost of the operating theatre was considered.

Effectiveness was calculated using the common metric of disability-adjusted life years (DALYs) [17]. We used 2010 global burden of disease (GBD) study disability weights for the same [18]. We calculated DALYs averted for each surgical case treated in the hospital during our study period using the method originally developed by McCord and Chowdhury [5] and followed by other researchers, with slightly simplified estimates of risk of death and disability and effectiveness of treatment [68]. We scored each surgical condition based on its severity and the effectiveness of treatment. For example, a 30-year-old female with ectopic pregnancy has a disease severity score of 1 which means there is 95 % or more chance of the condition being fatal or disabling without surgery and effectiveness of treatment score is also 1 which means 95 % or more chance of being cured after surgery. A successful surgery of this condition will avert 54 × 1 × 1 × 0.326 = 18 DALYs using the 2010 disability weights. Here, 54 is the life-to-live for the 30-year-old female as per 2010 life table; and 0.326 is the disability weight as per 2010 global burden of disease study [18]. The scoring system is summarized in Table 1.

Table 1 Scoring system for severity of disease and effectiveness of treatment

There were 32 surgical cases for which we did not find any appropriate weights from the GBD 2010 study (e.g., lipoma excision, septoplasty and polypectomy). Therefore, these cases were excluded from our calculation.

Results

Total operating costs of the hospital, inpatient department and operation theatre along with unit costs are presented in Table 2. The hospital operated at an occupancy rate of 90 % during our study period. The cost per bed-day was USD 54 and cost per surgery at the operation theatre was USD 417. The unit costs included human resources, capital and materials cost of the departments as well as distributed support cost, such as administration, laundry, laboratory, radiology and pharmacy services. In the total operating cost of the study hospital, the contribution of materials cost was the highest (75 %), followed by human resources cost (20 %) and capital cost (5 %) (not reported in the table).

Table 2 Unit cost of basic medical services, April 2012–March 2013

Number of surgical cases, DALYs averted and cost per DALY averted for 2580 surgical procedures are reported in Table 3. Even though there were total 2643 surgical admissions during the study period, as mentioned earlier, we were unable to assign weights for 32 cases, and there were 31 different types of surgeries which we did not report in this table. A total of 2580 surgical interventions averted 9351 DALYs using 2010 GBD study weights. 1291 surgical interventions related to maternal health such as abortion, caesarean section (elective and emergency), ectopic pregnancy, etc. averted 62 % of total DALYs averted and cost per DALY averted by all interventions related to maternal health turned out to be USD 132. 348 injury cases averted 431 DALYs resulting in a cost per DALY averted for all injury-related interventions to be USD 511.

Table 3 Cost per DALY averted (USD) for surgical procedures in study hospital, April 2012–March 2013

In Table 4, we report the cost per DALY averted by all surgical interventions (2643) in the study hospital. It includes the proportionate use of the inpatient ward for surgery patients and the operating cost of the theatre. Cost per DALY averted were calculated at USD 165 using 2010 GBD weights.

Table 4 Cost per DALY averted for surgical patients in study hospital, April 2012–March 2013

Discussion

We estimated the cost per DALY averted of a surgical unit of a 106-bed for-profit private hospital in north India. The hospital was selected based on cooperation, data availability and accessibility. It is unlikely that the government health facilities in India will keep computerized patient records, only the private facilities generally do that. As a detailed study like this requires patient-level data, it is not possible to review all case records manually; hence, we chose the private hospital that provided support in extracting their computerized patient records without identifiers. In India government health care services are provided in several levels starting with sub-centres, primary health care centres and community health centres to provide primary care. The district hospitals of 150-bed provide secondary care and there are tertiary care hospitals. Along with these, a substantial proportion of care is provided by the private providers and there are non-profit charitable hospitals as well. The private sector delivers about 80 % of outpatient care and 60 % of all inpatient care in India [19]. The private hospitals can range from few bedded nursing homes to multi-speciality hospitals. The 106-bed for-profit study hospital is like a small district hospital in government setting providing secondary care. We admit that it is not a representative hospital in a country like India, however, the cost per DALY averted for surgical unit in this hospital compare favourably with the same for several other interventions documented in the literature [20, 21]. It should be noted in this context that majority of the surgeries performed by the study hospital were related to maternal conditions and the cost per DALY averted is driven by this case-mix, however, this is common in small hospitals in India. In another Indian study on cost of surgical procedures also noted that the majority of the surgeries performed in a 200-bed government district hospital were lower section caesarean sections followed by hysterectomy, appendectomy and hernia repair [22]. Even though our results are highly context specific, our study will encourage more research to prove that surgical interventions are cost-effective.

The costs per visit (USD 17) and bed-day (USD 54) at the study hospital were lower than those reported for a private hospital in a recent hospital costing study in India (USD 42 and USD 134, respectively, at 2011 prices) [14]. The inpatient department of the study hospital consumed more resources than the outpatient department, as is typical for hospitals in India. The unit costs at the operating theatre (USD 417) and labour room (USD 403) were higher than the same for outpatient and inpatient departments. This is because the operating theatre and the labour room require expensive equipment, consumables and specialized personnel. Our result is consistent with the recent hospital cost study results in India which also showed that the unit costs of the operating theatres of all types of hospitals were much higher than the unit costs of several other departments such as inpatient, outpatient and emergency departments [14]. The study hospital’s material cost dominated total operating costs. This is also similar to the findings of the other hospital cost study in India which showed that for private hospitals materials cost dominated when land cost was excluded from total operating costs of the hospitals [14]. However, in this study, the materials cost was 75 % of total operating cost—much higher than reported by the other study (about 40 %)—because this study hospital was unable to provide building cost data. The consequent underestimation of the capital cost leads to a high percentage of materials cost. We tried to calculate the capital cost including building cost based on the results of the other study [14]. In that study, building cost was the highest cost component in total capital cost for the private hospital (52 %) [14], which, in turn, was 23 % of total operating cost of the hospital (authors’ calculation). If we consider the same proportion of building cost for various cost centres in the current study hospital, the increases in total capital costs will lead to 5–23 % increase in unit costs of various cost centres. The lowest increase in unit costs (5 %) will be for the operating theatre and labour room as these two occupy less floor area in total floor area of the hospital as compared to outpatient or inpatient departments (authors’ calculation based on the data of reference 14).

In the study hospital, a total of 2643 cases were admitted for surgical procedures during April 2012–March 2013 and the interventions averted 9401 DALYs using 2010 GBD study weights resulting in a cost per DALY averted of USD 165. This is much lower than the common thresholds of cost-effectiveness—an intervention is “very cost-effective” if the cost-effectiveness ratio is lower than the gross national income (GNI) per capita of the country (USD 1508–INR 91,988, for India in 2012) and “cost-effective” if the ratio is less than three times that figure [23]. As the disability weights used in GBD studies have been criticised since their inception [2426], we did another set of calculations using 1990 GBD weights and found that the surgical interventions in the study hospital averted 2116 more DALYs using 1990 weights resulted even lower cost per DALY averted—USD 135.

Study limitations

Even though we followed the same method for cost and DALY calculations as used by several other researchers, allowing comparisons with other studies [5, 6, 14, 27, 28], the following limitations of our study merit comment. First, our cost estimates did not cover the building and land cost, causing an underestimation of total operating cost of the hospital. However, building construction or maintenance cost during the study period had been considered as recurrent cost. If we assume that the proportion of building cost in total capital cost is approximately the same as reported in other hospital cost study in India [14], the cost per DALY averted ratios for majority of the conditions will still be within the cost-effectiveness thresholds for India. Second, because detailed data of operating hours for different procedures were not available, we adjusted the operating theatre cost by the number of cases, rather than the preferred measure of operating hours. Using operating hours would change the costs of the interventions but probably not the cost per DALY averted rankings of the procedures, since in our study, most of these ratios are well below the standard threshold. Third, disability weights for some diagnoses were missing from the disease burden study tables, so we used the closest possible weights, introducing a significant amount of subjectivity. Similarly, because of the hospital coding system, some fractures were coded as humerus/tibia, and since we were not sure about the actual procedure, we used the humerus weights, which are less than for tibia in both burden of disease studies. The number of humerus fractures is therefore high in our sample, even though tibia fracture is more common in road traffic injuries in India, but this most likely reflects a coding issue, not an epidemiological orthopaedic abnormality. Fourth, the global burden of disease methods in general and disability weights in particular are based on conditions, not procedures. The hospital’s coding required us to presume the underlying condition and attribute the most appropriate weight. This bias was compounded by the fact that most of the time, identical diagnoses are not present in disability weight set of 2010 GBD study, and a ‘next-closest best’ approach was necessary. Finally, the scoring system we used for treatment effectiveness and disease severity were also used by other researchers and is internally validated but still awaiting external validation.

The present study indicates that cost per DALY averted by the surgical unit of the hospital compares favourably with several other public health interventions. As the study is based on a small private hospital in India which is not a representative hospital, the results of this study will probably cannot be used for policy purposes, however, the study result will encourage researchers to conduct large scale study in a representative sample of hospitals to establish that surgical interventions could be cost-effective and hence should be given priority in public health policies in developing countries.

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Acknowledgments

We thank the Indo-US Science and Technology Forum, Institute for Global Orthopaedics and Traumatology, University of California, San Francisco and the staff of the study hospital.

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Correspondence to Susmita Chatterjee.

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Chatterjee, S., Laxminarayan, R. & Gosselin, R.A. Cost Per DALY Averted in a Surgical Unit of a Private Hospital in India. World J Surg 40, 1034–1040 (2016). https://doi.org/10.1007/s00268-015-3376-y

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Keywords

  • Private Hospital
  • Surgical Unit
  • Study Hospital
  • Cost Centre
  • Disability Weight