|Year : 2015 | Volume
| Issue : 4 | Page : 252-257
A comparative evaluation of public health centers with private health training centers on primary healthcare parameters in India: a study by data envelopment analysis technique
Sanjeev Davey1, Santosh Kumar Raghav1, Jai Vir Singh1, Anuradha Davey2, Nirankar Singh1
1 Department of Community Medicine, Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh, India
2 Department of Community Medicine, Subharti Medical College, Meerut, Uttar Pradesh, India
|Date of Submission||13-Mar-2014|
|Date of Acceptance||05-Nov-2014|
|Date of Web Publication||3-Sep-2015|
B-197, 3rd Floor, Prashant Vihar, Sector 14, Rohini, Delhi - 110 085
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: The evaluation of primary healthcare services provided by health training centers of a private medical college has not been studied in comparison with government health facilities in Indian context. Data envelopment analysis (DEA) is one such technique of operations research, which can be used on health facilities for identifying efficient operating practices and strategies for relatively efficient or inefficient health centers by calculating their efficiency scores. Materials and Methods: This study was carried out by DEA technique by using basic radial models (constant ratio to scale (CRS)) in linear programming via DEAOS free online Software among four decision making units (DMUs; by comparing efficiency of two private health centers of a private medical college of India with two public health centers) in district Muzaffarnagar of state Uttar Pradesh. The input and output records of all these health facilities (two from private and two from Government); for 6 months duration from 1 st Jan 2014 to 1 st July 2014 was taken for deciding their efficiency scores. Results: The efficiency scores of primary healthcare services in presence of doctors (100 vs 30%) and presence of health staff (100 vs 92%) were significantly better from government health facilities as compared to private health facilities (P < 0.0001). Conclusions: The evaluation of primary healthcare services delivery by DEA technique reveals that the government health facilities group were more efficient in delivery of primary healthcare services as compared to private training health facilities group, which can be further clarified in by more in-depth studies in future.
Keywords: Data envelopment analysis, primary healthcare, private medical college, rural health training center, subcenter, urban health post, urban health training center
|How to cite this article:|
Davey S, Raghav SK, Singh JV, Davey A, Singh N. A comparative evaluation of public health centers with private health training centers on primary healthcare parameters in India: a study by data envelopment analysis technique. Indian J Community Med 2015;40:252-7
|How to cite this URL:|
Davey S, Raghav SK, Singh JV, Davey A, Singh N. A comparative evaluation of public health centers with private health training centers on primary healthcare parameters in India: a study by data envelopment analysis technique. Indian J Community Med [serial online] 2015 [cited 2019 Jul 23];40:252-7. Available from: http://www.ijcm.org.in/text.asp?2015/40/4/252/164394
| Introduction|| |
The primary healthcare delivery first proposed by the Bhore Committee (1946) of India; has also gained worldwide acceptance among international agencies and national governments to cover both comprehensive healthcare and basic health services, as adopted in countries such as India.  The Alma-Ata Declaration as emphasized by World Health Organization (WHO) has outlined eight essential components of primary healthcare for achieving this by way of providing:
The problem in Indian healthcare system is there is a mal-distribution of health infrastructure and manpower between rural and urban areas and health infrastructure consists mainly of two categories:
- Education concerning prevailing health problems and the methods of preventing and controlling them;
- Promotion of food supply and proper nutrition;
- An adequate supply of safe water and basic sanitation;
- Daternal and child healthcare, including family planning;
- Immunization against major infectious diseases;
- Prevention and control of locally endemic diseases;
- Appropriate treatment of common diseases and injuries; and
- Provision of essential drugs.  The functions of the primary health centers (PHCs) in India cover all these eight "essential" elements, as India is also a signatory to Alma-Ata Declaration.
The health training centers of private medical colleges such as urban and rural can be an efficient resource for delivery of community-oriented primary healthcare services as also suggested by Medical Council of India.
- Educational infrastructure and
- Service infrastructure and in this there has been a rapid growth in medical education infrastructure in last 2 decades, but the service infrastructure has not expanded to a satisfactory mark. 
It has been found that the newer strategies such as decentralization in primary healthcare system; even in good health indicator states such as Kerala in India has not contributed a significant change to the health sector, indicating the potential scope of private health sector in primary healthcare services.  Although the private sector appears to be more efficient, accountable, and medically effective than the public sector; and the public sector lacks timeliness and hospitality towards patients, but it requires proof in studies. 
Data envelopment analysis (DEA) is a methodology which can be used to evaluate the efficiency of programs and organizations which are responsible for utilizing resources to obtain outputs of interest.  DEA is in fact a linear programming based model which evaluates the relative efficiency of decision making units (DMUs), with multiple inputs and outputs. It identifies a subset of efficient "best-practice" DMUs and for remaining DMUs, the magnitude of their nonefficiency is measured by comparing to a frontier constructed from the efficient DMUs.
Now-a-days, DEA is at the service of the managers and efficient tool for evaluating the performance of DMUs. The DEA has been used a lot in developed countries and less in developing countries such as India to analyze efficiency of health facilities. This kind of studies should also be undertaken in the other countries of the WHO Southeast Asian Region with a view to empowering rural health training center (RHTC) of private medical colleges to play their stewardship role in primary healthcare services more effectively as also advocated by WHO. 
Till date no such study in Indian set up has attempted to compare any kind of efficiency of private medical college health center's (RHTC and urban health training center (UHTC)) with health centers of government (subcenter (SC) and UHP). Thus, there was need for such a study to bridge that knowledge and information gap on this issue. That's why authors have selected this research area.
| Materials and Methods|| |
What are the efficiency scores of private health training centers in comparison to government health centers in providing services on primary healthcare services parameters?
First ethical approval of this study proposal was obtained from the Ethics Committee of the Muzaffarnagar Medical College and Hospital, Muzaffarnagar (UP), India and also from head of primary healthcare system (Chief District Medical Officer (CDMO)) for selecting their government health facilities for inclusion in this study. Ethical standards were also followed at all stages of this research by maintaining anonymity of staff and doctors involved in providing primary healthcare services from either of the system.
This study was carried out by DEA technique of operations research (OR) by basic radial models (envelopment form) used in linear programming via DEAOS free online software.
Place of study
Two training health centers of a private medical college (rural and urban), by comparing its efficiency with two government health centers (SC and urban health post (UHP)) situated adjacent within 5 km range from their respective training centers in District Muzaffarnagar (UP), India (four units: One RHTC, one UHTC, one SC, and one UHP). For example, SC was situated near RHTC within 0.5 km and UHP was within 5 km from UHTC.
Data collection strategy
Authors visited all these four health facilities (SC with RHTC and UHTC with UHP) regularly to note their input and output records for 6 months duration from 1 st Jan 2014 to 1 st July 2014 in order to have a sufficient comparable data for deciding their efficiency.
Objective function used in linear programming
Comparison among private health training center services and government health facilities for deciding their efficiency in primary healthcare services in two variable groups of inputs and outputs each.
Constraints used in linear programming
Only four DMUs (two from private health training centers (RHTC and UHTC) and two from government health facilities (SC and UHP) and clubbing of variables in two groups from both input and output each were considered.
Inputs selected were the resources used by RHTC + UHTC (two private health training centers) and SC + UHP (two government health facilities) to produce outputs (that is, products or services). An efficiency of these government vs private health facilities was seen on clubbed category of variables in two groups of combined inputs and two groups of combined outputs. The input and output variables labeling criteria selected are detailed as given below:
Input variables (two groups)
Group-1: Presence of doctor at government health facility or private health training centers for primary healthcare services (Lady Medical Officer (LMO) + Assistant Professor (AP) Community Medicine + Specialists (S) of Hospital).
Group-2: All kind of staff presence for providing primary healthcare (Staff Nurse (SN), Public Health Educators (PHE), Medicosocial Worker (MSW) + Laboratory Technician (LT) + Pharmacists + Administrative and General Staff (AGS)).
Output variables (two groups)
Group-1: Number of outpatient department (OPD) patients seen by doctors (general + specialist patients) under primary healthcare services.
Group-2: All kinds of primary healthcare services given by staff (treatment of minor injuries (TMI) + drugs availability (DA) + family planning (FP) + school health + adolescent health + antenatal care (ANC) + reproductive and child health (RCH) services + family health survey + immunizations + lab services + health education activity).
Efficiency score criteria
DEAs were applied on selected input variables to get the results for output variables so as to get their efficiencies in providing primary healthcare services in terms of number of patients seen and types and kinds of services given under primary healthcare of all four DMUs (to find out the actual differences between private health training centers (RHTC + UHTC) and two government health facilities (SC + UHP)). The efficiency scores taken were from: 0 (totally inefficient) to 1 (100% efficiency) using constant ratio to scale (CRS). This DEA model actually generates a scalar efficiency ratio and identifies a group of comparative DMUs for each health unit. Those programs with a positive efficiency ratio of less than one are declared as "inefficient" compared to programs with an efficiency ratio of 1. A common measure for relative efficiency taken was: Weighted sum of inputs/weighted sum of outputs. This efficiency score was calculated by free DEAOS software available online.
| Results|| |
Population profile of catchment area of DMUs
The UHP in Muzaffarnagar was catering to a larger population of 20,000; whereas, SC Bilaspur, a another government health facility catered only 9,000 population and they were together more than that of population covered by private training health centers (29,000 vs 25,268) as shown below in [Table 1].
Findings of input and output variables of selected DMUs
The differences between private health training centers (RHTC + UHTC) and two government health facilities (SC + UHP) when analyzed in terms of number of patients seen in presence of doctors; it were maximum from (UHP + SC) government health facility group (1:5,000) as compared to private health training center's facility group (RHTC + UHTC) (1:1,500) and similarly for kinds of services provided by health staff it were again lower from private health training centers facility group (RHTC + UHTC; 1:185) as compared to services under (UHP + SC) government health facility group (1:200) as shown in [Table 2].
|Table 2: Distribution of findings under input and output variables of selected DMUs|
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Findings of analysis of primary health services provided in presence of doctors at heath facilities
It was found that the government health facilities (SC + UHP) services group was more efficient than private training health center facility services group in providing primary healthcare services in terms of number of patients seen in presence of doctors [Table 3].
|Table 3: Analysis of primary health services provided in presence of doctors at heath facilities of selected DMUs group|
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Findings of analysis of primary health services provided in presence of health staff at health facilities
It was found that the government health facilities (SC + UHP) services group was more efficient than private training health center facility services group in providing primary healthcare services in terms of number and kind of primary healthcare services provided in presence of health staff at health facilities of either group [Table 4].
|Table 4: Analysis of primary health services provided in presence of health staff at heath facilities of selected DMUs group|
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Efficiency scores of health facilities
Efficiency score for health centers of government and private health facilities services group was calculated from [Table 3] and [Table 4] data by DEAOS online software; and depicted in [Table 5], indicating that government facilities services group were efficient in delivery of primary healthcare services from both the ways such as presence of doctors (100 vs 30%) and presence of health staff (100 vs 92%) and these scores were highly statistically significant (P < 0.0001) [Figure 1] and [Table 5].
|Figure 1: Comparative efficiency scores of health staff and doctors in primary healthcare services. RHTC: Rural health training center, UHTC: Urban health training center, SC: Subcenter, UHP: Urban health post|
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|Table 5: Efficiency scores in % of health staff and doctors in providing primary healthcare services|
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| Discussion|| |
With a population of 3,543,362 in 2014, district Muzaffarnagar in state Uttar Pradesh of India accounted for 2.13% of the population of Uttar Pradesh and 25.5% of the population here lived in towns and cities. Of the total 893 villages in this district, 5.8% had a PHC, while 8.2% have a primary health SC. Muzaffarnagar ranked 140 out of 335 in terms of percentage of villages having a PHC and primary health SC as per district statistical report (2013).  Percentage of PHC functioning on 24 h basis in this district since 2008 are 89%. In order to improve primary healthcare indicators, it is necessary not only to ensure that 100% of villages have a primary health SC but also adequate medical supplies are available in each center as per this approach; therefore, the role of private health facilities of a private medical college in the form of training centers in urban and rural areas gains importance. 
The government health facilities in our present study covered more population as compared to private training health center's population (29,000 vs 25,268) indicating that the real brunt of primary healthcare services delivery is by government health facilities, but private training health centers are playing a supportive and substantial role in primary healthcare services and this finding in our study is similar to findings in previous study by Davey et al. (2014). 
In our present study in terms number of patients seen in presence of doctors, government health facility group (UHP + SC) services were more better as compared to private health training center's facility group (RHTC + UHTC) services and similarly for kinds of services provided by health staff it were again lower from private health training center's facility group (RHTC + UHTC) services as compared to services under (UHP + SC) government health facility group services. It has also been found in study by Ortiz et al., (2010) that rural and urban health clinics (RHCS and UHSC) run by government can play an important role in the delivery of primary healthcare services to medically underserved areas, this was found even in countries such as the United States, a finding similar to our study. 
Study on hospital efficiency of district level government hospitals and grant-in-aid in state Gujarat (India) by Bhat et al., (2001) found that grant-in-aid hospitals and private medical colleges can be relatively more efficient than public (government) hospitals in Gujarat in terms of providing primary healthcare services; this study, however, had contrasting results to our present study.  The study of Meng et al., (2000) also finds no evidence that care provided by private clinics is inferior to that of public clinics.  The study of Peabody et al., (1994) had also found that the public (government health) clinics provided better prenatal diagnosis and counseling and more better family planning services in primary healthcare than the private clinics, but the private clinics were in better condition, better equipped, and supplied; and better able to provide certain laboratory test results in a timely manner.  These kind of above studies indicate that health training centers in urban and rural areas of private medical colleges can have role in primary healthcare services such as seen also in previous study by Davey et al., (2014). 
DEA is a linear programming methodology to measure the relative performance and efficiency of multiple DMUs when the production process presents a difficult structure of multiple inputs and outputs and DEA use mathematical models that measure the relative efficiency of DMUs with multiple inputs and outputs, but with no obvious production function to aggregate the data in its entirety. Relative efficiency is defined as the ratio of total weighted output to total weighted input. ,
In our present study by DEA analysis technique, the government facilities services group were more and better efficient in delivery of primary healthcare services from both the ways such as, presence of doctors (100 vs 30%) and presence of health staff (100 vs 92%) and these scores were also highly statistically significant and this finding is similar to other studies such as by Mogha et al., (2012)  and Boussofiane et al., (1991) found that DEA can be used in identifying efficient operating practices and efficient strategies, setting targets/bench marks for relatively inefficient health centers, monitoring effects of health sector reforms on efficiency over time, and resource allocation and DEA can provide an effective and practical approach for evaluating relative efficiency of Indian rural health care programs, especially useful for program management and policy making as found by Satyanarayana (2012) and study by Jat and Sebastian (2013) on the district hospitals of Madhya Pradesh (India), found that they were technically efficient constituting the 'best practice frontier', which is also one of the key finding in our study. ,,
In general, the public hospitals are relatively more efficient than private ones; study by Sheikhzadehl et al., (2012) in Iran on 11 sample hospitals (six samples from the first class public hospitals and five samples from the private ones) also found that between 75 and 99% (one private and one public) were efficient by DEA analysis and this is also similar to our study.  The DEA analysis technique was also applied to study the performance and efficiency of King Khalid University Hospital Departments in Saudi Arabia also showed that two departments were found have 100% efficiencies throughout the 12-month period, similar to our study (100% efficiencies). 
Limitations of study
Some of the limitations of our study are:
- The results are sensitive to the selection of inputs and outputs,
- we cannot test for the best specification, and
- DEA analysis has done on four DMUs for comparison.
| Conclusions|| |
DEA technique is found to be a useful, effective, and practical approach for evaluating relative efficiencies of health centers under primary healthcare services. The evaluation of primary health care services delivery has revealed that the government health facilities were more efficient as compared to private training health facilities. But, we suggest further in-depth evaluation studies in Indian scenario to justify the issue of generalization of the finding of this study to primary healthcare scenario.
List of abbreviations used
DEA: Data envelopment analysis
DMU: Decision making units
RHTC: Rural health training centre
UHTC: Urban health training center
UHP: -Urban health post
| References|| |
Goel S. From Bhore committee to national rural health mission: A critical review. Int J Health 2008;7:1.
Singh Z. Aging: The triumph of humanity-are we prepared to face the challenge? Indian J Public Health 2012;56:189-95.
Varatharajan D, Thankappan R, Jayapalan S. Assessing the performance of primary health centres under decentralized government in Kerala, India. Health Policy Plan 2004;19:41-51.
Basu S, Andrews J, Kishore S, Panjabi R, Stuckler D. Comparative performance of private and public healthcare systems in low- and middle-income countries: A systematic review. PLoS Med 2012;9:e1001244.
Bowlin WF. Measuring performance: An introduction to data envelopment analysis (DEA). J Cost Anal 1998;7:3-27.
Kirigia JM, Emrouznejad A, Sambo LG, Munguti N, Liambila W. Using data envelopment analysis to measure the technical efficiency of public health centers in Kenya. J Med Syst 2004;28:155-66.
Muzaffarnagar. District Information System for Education, Census of India - 2011, National Rural Health Mission. [Internet c 2014]. Available from: http: //friendsofbjp.org/node/1060 [Last updated 2014 Aug 25 and Last cited 2014 Aug 25].
Davey S, Raghav SK, Muzammil K, Singh JV, Davey A, Singh SK, et al
. Study on role of rural health training centre (RHTC) as a supporting component to a primary health care system for NRHM programme in district Muzaffarnagar (UP). Int J Res Med Sci 2014;2:653-61.
Ortiz J, Wan TT, Meemon N, Paek SC, Agiro A. contextual correlates of rural health clinics′ efficiency: Analysis of nurse practitioners′ contributions. Nurs Econ 2010;28:237-44.
Bhat R, Verma BB, Reuben E. Hospital efficiency and data envelopment analysis (DEA). An empirical analysis of district hospitals and grant-in-aid hospitals in Gujarat state of India. Health Policy Development Network (HELPONET), India [IIM Ahmadabad] 2001:1-40.
Meng Q, Liu X, Shi J. Comparing the services and quality of private and public clinics in rural China. Health Policy Plan 2000;15:349-56.
Peabody JW, Rahman O, Fox K, Gertler P. Quality of care in public and private primary health care facilities: Structural comparisons in Jamaica. Bull Pan Am Health Organ 1994;28:122-41.
Mogha SK, Yadav SP, Singh SP. Performance evaluation of indian private hospitals using DEA approach with sensitivity analysis. Int J Adv Manage Econ 2012;11:211-2.
Boussofiane A, Dyson RG, Thanassoulis E. Applied data envelopment analysis. Eur J Oper Res 1991;52:1-15.
Satyanarayana GM, Jayadeva CT, Ramakrishna HV. Evaluation of indian rural health care centre programs: By the application of data envelopment analysis technique. Bonfring Int J Ind Eng Manage Sci 2012;2:10-3.
Jat TR, Sebastian MS. Technical efficiency of public district hospitals in Madhya Pradesh, India: A data envelopment analysis. Glob Health Action 2013;6:21742.
Sheikhzadehl Y, Roudsari AV, Vahidi RG, Emrouznejad A, Dastgiri S. Public and private hospital services reform using data envelopment analysis to measure technical, scale, allocative, and cost efficiencies. Health Promot Perspect 2012; 2:28-41.
Al-Shayea AM. Measuring hospital′s units efficiency: A data envelopment analysis approach. Int J Eng Technol 2011;11:7-19.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5]