Skip to main content

Matching comprehensive health insurance reimbursements to their real costs: the case of antenatal care visits in a region of Peru



Prepaid contributory systems are increasingly being recognized as key mechanisms in achieving universal health coverage in low and middle-income countries. Peru created the Seguro Integral de Salud (SIS) to increase health service use amongst the poor by removing financial barriers. The SIS transfers funds on a fee-for-service basis to the regional health offices to cover recurrent cost (excluding salaries) of pre-specified packages of interventions. We aim to estimate the full cost of antenatal care (ANC) provision in the Ventanilla District (Callao-Peru) and to compare the actual cost to the reimbursement rates provided by SIS.


The economic costs of ANC provision in 2011 in 8 of the 15 health centres in Ventanilla District were estimated from a provider perspective and the actual costs of those services covered by the SIS fee of $3.8 for each ANC visit were calculated. A combination of step-down and bottom-up costing methodologies was used. Sensitivity analysis was conducted to test the uncertainty around estimated parameters and model assumptions. Results are reported in 2011 US$,


The total economic cost of ANC provision in all 8 health centres was $569,933 with an average cost per ANC visit of $31.3 (95 % CI $29.7–$33.5). Salaries comprised 74.4 % of the total cost. The average cost of the services covered by the SIS fee was $3.4 (95 % CI $3.0–$3.8) per ANC visit. Sensitivity analysis showed that the probability of the cost of an ANC visit being above the SIS reimbursed fee is 1.4 %.


Our analysis suggests that the fee reimbursed by the SIS will cover the cost that it supposed to cover. However, there are significant threats to medium and longer term sustainability of this system as fee transfers represent a small fraction of the total cost of providing ANC. Increasing ANC coverage requires the other funding sources of the Regional Health Office (DIRESA) to adapt to increasing demand.


Financing systems that encourage risk-pooling and pre-payment, such as public health insurance, are increasingly recognized as key mechanisms in achieving universal health coverage in low and middle-income countries [1]. They have been shown to improve financial protection and increase access to health services in a variety of settings with different contextual and structural characteristics [2]. The nature of the purchasing arrangements between the prepaid scheme and service providers is an essential factor to their success. An optimal payment system should induce providers to offer high quality services that are responsive to patients’ needs and provided in an efficient way.

In 2001, the Peruvian Government created a comprehensive health insurance package for the poor called the Seguro Integral de Salud (SIS), This is mainly funded from general taxes and aims to expand health service use amongst the poor, by eliminating user fees [3]. The SIS transfers funds on a fee-for-service basis to the DIRESA (Spanish acronym for Regional Health Office) to provide a pre-specified package of interventions, including antenatal care (ANC) services [4]. The fees were estimated in 2003 to cover recurrent cost of services and assuming that personnel cost were covered by the ministry of health. The technical aspects of how they were calculated or if they have been adjusted for inflation are not clear as this information is not open to the public.

In a fee-for-service (FFS) payment mechanism, each service provided to patients is paid for individually. This can create an incentive for health care providers to increase the volume of patients seen and the number of services provided to each patient. This can sometimes become a perverse incentive and lead to either overproduction of services to maximize income (supplier induced demand) or a disproportionate provision of more profitable services [5].

The actual cost of the service provided must be closely related to the fee reimbursed for these financing mechanism to be sustainable. In Peru, few attempts have been made to estimate the actual cost incurred by health providers for the interventions covered by the SIS. Cid et al. found that the actual cost of providing paediatric epilepsy treatment was 7 % less than the fee reimbursed by the SIS and that the cost of treating acute bronchitis was 28 % more than its respective fee [6]. Alvarado et al. calculated the cost of some of the most frequent diagnostics at a paediatric intensive care and compared these to the SIS fees, observing cost up to 32 % higher in some cases [7]. Both these studies only examined the cost of treatment provision and did not include comprehensive overhead costs. To the best of our knowledge, our study is the first to describe the total economic cost of providing a preventive antenatal care (ANC) service in Ventanilla, a peri-urban district in Peru, and compare it to the reimbursement rates provided by SIS in 2011. We hope to strengthen the evidence-base to streamline SIS and further the achievements of its goals.


The setting

Ventanilla is the largest of districts of the Callao Region (Lima). It is an urban location with an estimated population of 389,440 [8]. It was chosen as the site of implementation of “Brighter Futures”. This is a project that aims to understand the factors that influence the introduction of point of care diagnostics to improve maternal and child health in there different geographic regions of Peru (coast, Andes and jungle). Ventanilla District was selected as the representative district of the coastal region of Peru.

In 2011 the Ministry of Health (MoH) network in Ventanila District consisted of 4 sub-networks (3 de Febrero, Angamos, Luis Felipe and Marquez) with one district hospital and 15 health centres in total. We purposively sampled two health centres from each sub-network to capture the expected maximum variation in costs based on a number of indicators, such as, complexity of services provided, catchment size, opening hours and number of ANC visits performed (see Additional file 1: Table S1 for more information on their characteristics).

The intervention: antenatal care (ANC)

ANC is a combination of different preventive interventions provided to pregnant women before delivery and “…includes education, counselling, screening and treatment…” [9]. The National Reproductive Health Guidelines suggests a minimum of six antenatal care visits during pregnancy to complete the essential package of interventions [10] which, in Peru, is provided through primary health care centres.

The package offered in Ventanilla District does not vary greatly among its health centres. At the initial ANC visit, all attendees must register in the SIS to avail of these services free of charge. Enrolment entails visits to admission services, the SIS office, the pharmacy and a self-funded echography to prove pregnancy, unless the pregnancy is obvious. Once enrolled women are first triaged and then, seen by a midwife in the ANC office. The midwife performs a clinical exam, a rapid syphilis and HIV test and a tetanus vaccination as required. This is followed by a nutrition, a dental care and a psychological assessment. All subsequent visits only involve clinical assessment by the midwife in the ANC office, with prescription of iron and folic acid as required. At the fourth or fifth visit, women also undergo formal HIV and syphilis testing in the laboratory and an ultrasound scan. The visit schedule and interventions provided by various departments are shown and in Table 1.

Table 1 Interventions that must be provided to healthy women during pregnancy

The SIS reimburses the DIRESA on a fee-for–service basis (i.e. per ANC visit) to cover some of the cost of this service [11, 12]. Payment is done retrospectively based on the regional reports of the numbers of services provided. The reimbursement fee for each ANC visit was $3.80 in 2011 [13]. This is supposed to cover all recurrent costs of enrolment, triage and the visit to the ANC office, including rapid tests and iron supplements but excluding all salaries and capital costs [14]. Our analysis focuses on this reimbursement fee.

Of note, there is a separate reimbursement fee schedule for other components of ANC provision, such as, $9.55 for each laboratory test performed during pregnancy and $5.73 for each obstetric echography [13]. The DIRESAs also receive funds from two other sources: direct government transfers and fees paid by uninsured patients at the facility level. Most of the government funds are earmarked to cover personnel cost (“Nombrados” and “Contratados” type of contract) and pharmaceuticals, while facility level user fees can be used more flexibly [15].

Data collection and cost analysis

A field visit was conducted between July and August 2012 to retrospectively collect output and cost data from each of the eight health centres selected. Activity data for each clinic was collected from its health information system and included number of pregnant women seen and services provided. Costs incurred during 2011 calendar year were collected from a provider’s perspective and classified into capital and recurrent costs. Cost data were collected in 2011 Peruvian New Soles (PEN) and reported in 2011 US$ using an exchange rate of 0.382 PEN to 1.00 US$ [16].

Capital costs (building, furniture and equipment) were collected during individual health facility visits. Building costs were estimated by applying the construction cost per square meter to the size of the health facility as detailed in the actual plan of the building. The most recent equipment inventory available for each health facility was used (December 2010) and each item valued using estimates provided by the DIRESA. Annualised costs were calculated using a 5 % discount rate and expected lifespan for building, furniture and equipment of 30, 10 and 5 years respectively [17].

Most of the recurrent costs, such as, utilities, medications and consumables, were retrieved from the Callao Regional Health Office accounting system for each of the eight health facilities. A list of personnel involved in ANC provision was compiled during the field visit. Their job titles, respective duties and time spent on ANC provision was also collected. Personnel costs, including allowances, were provided by the DIRESA.

The full annual cost of providing ANC services in 2011 and the unit cost per ANC visit in each health centre studied were estimated using a step-down costing methodology combined with a bottom-up strategy. We also estimated the cost per visit of those activities that are covered by the ANC visit SIS fee of $3.8. As described previously, this fee only covers recurrent cost of the admission service, SIS office, triage, CRED (vaccination office) and the ANC office, excluding salaries. The interventions included in each cost estimate can be seen in Table 2.

Table 2 Different interventions included in the unit cost estimates

Step-down costing methodology was used to allocate joint costs of the health centre to the different activities in a step-wise fashion [18, 19]. Services and departments of the health centre were categorised into three cost centres according to their activities and following the organisational structure of the facility: overhead (administration, accounting, health information unit, logistics and security), support (admission, laboratory, echography, pharmacy and SIS office), and final services (triage, ANC office, vaccination service…). Allocation criteria were developed based on the data collected during the field visit, to reflect actual resource utilisation. For instance, relevant staff were asked to estimate the amount of time they spent on each activity. These estimates were used to allocate corresponding staff costs (salaries) to each activity.

More information on the sources of cost data, allocation criteria and the cost categories collected can be found in Additional file 1: Tables S2, S3. All data were compiled, stored and analysed using Microsoft Excel 2013.

As a first step, the total capital and recurrent cost were distributed across each cost centre using specific allocation criteria described above. In the second step, overhead costs were allocated to support and final services (as well as to overhead activities in a simultaneous fashion) [19]. Next, the costs of support services were allocated to the final services and, lastly, a proportion of final services costs (vaccination, triage, nutrition service, psychology service, dental care and health promotion) were allocated specifically to the ANC provision cost.

In addition, a bottom-up methodology was used to estimate the cost of some of the resources used at individual patient level. The unit costs of rapid HIV and syphilis testing and, of iron and folic acid supplementation, were applied to the number of pregnant women that received them. The fees reimbursed by the SIS for each laboratory test and the cost estimate of echography in Peru Korea health centre, were used as respective unit cost estimates. These were then applied to the number of tests and ultrasounds performed in 2011 to calculate the total and per visit cost of full ANC provision in each facility. In order to calculate the cost per ANC visit in the Ventanilla District as a whole, we used the total costs of ANC provision at all eight facilities sampled and divided it by the total number of women seen at those facilities in 2011.

All patient details were anonymized and de-identified prior to analysis. The Ethics Committee at the London School of Hygiene and Tropical Medicine approved the study.

Sensitivity analysis

An univariate sensitivity analysis was performed to account for the uncertainty around some of the input estimates used. Table 3 shows the parameters included in the sensitivity analysis and the range of values used. In addition, a probabilistic sensitivity analysis was conducted where parameters were simultaneously sampled from a uniform distribution between the maximum and the minimum possible value. The mean ANC unit cost and 95 % CI were estimated using 1000 iterations of the model.

Table 3 Parameters included in the sensitivity analysis


Among the approximately 8737 pregnant women in Ventanilla District in 2011, ANC was provided to 6796 women. Of these, 2,802 women attended one of the eight health centres sampled resulting in a total of 18,220 visits performed in 2011. Each woman received an average of 6.5 ANC visits. The coverage of the different services provided to pregnant women attending to ANC can be seen in Table 4.

Table 4 Coverage of interventions among pregnant woman attending to ANC in 2011

The total economic cost of ANC provision in the 8 sampled facilities was 569,933. It varied widely between the study facilities ranging from $23,231 in Ventanilla Baja to $110,000 in Peru Korea (Table 5). The major share of the costs were salaries and medical supplies (drugs and diagnostics), representing on average 77.8 and 13.5 % of the total cost respectively. Capital cost ranged from $2960 in Ventanilla Baja to $10,967 in Peru Korea representing on average 10.4 % of the total cost.

Table 5 Total Cost of the provision of ANC (US$ 2011)

The allocation of costs using the step-down methodology resulted in the burden of resources consumed being shared roughly equally among final services (dental care, psychiatric services, nutrition, triage and immunization service), support services (SIS office, pharmacy, laboratory and echography services) and the ANC office. They represented on average 36.2, 35.0 and 23.5 % respectively of the total cost of the ANC provision, while overhead cost represented 5.3 %.

Table 6 shows the cost per ANC visit for the different health centres examined. The average cost per ANC visit across the eight facilities is $31.3 with a 95 % CI between $29.7 and $33.5. Some variability can be found among the health centres with the unit cost of ANC provision ranging from $20.6 in Mi Peru to more than double in Ventanilla Baja ($48.4). The 1st ANC visit is more than three times as expensive as the rest of the visits in our study ($75.3 and $21.0 respectively).

Table 6 Unit cost of ANC expressed as cost per ANC visit (US$ 2011) and summary statistics

The total actual cost of those services covered by the SIS for each ANC visit (recurrent cost excluding salaries of the attendance to ANC office and general support services) in 2011 was found to be $61,146 that represent 10.7 % of the total economic cost of providing ANC. This translated to an actual cost per ANC visit of $3.4 (95 % CI $3.0–$3.8), ranging from $2.3 in Mi Peru to $5.6 in Ventanilla Baja. As shown in Fig. 1, only 3 of the 8 health centres (3 de Febrero, Defensores and Ventanilla Baja) would have higher cost than the fee reimbursed.

Fig. 1

Unit costs with 95 % CI of the services covered by the fee from the SIS

Sensitivity analysis

Univariate sensitivity analysis showed that results were most sensitive to changes in personnel costs. Increasing staff time allocations by 20 % increased the unit ANC visit cost by $4.7 and decreasing this estimation by 20 % decreased it by $7.2 (see tornado diagram in Fig. 2).

Fig. 2

Tornado diagram of the univariate analysis of the full ANC cost per visit

We estimated the probability that the true cost of an ANC visit would be higher than the SIS reimbursement fees using the multivariate sensitivity analysis and found it to be 1.4 %. Thus, the reimbursement fee will cover the cost that it is supposed to cover in most of the cases. Figure 3 represents this relationship for different hypothetical reimbursement fees (X axis) using the results of the multivariate sensitivity analysis.

Fig. 3

Probability of SIS reimbursement fee covers the real cost of the services. The figure presents different hypothetical reimbursement fees (X axis) and their probability of covering the real cost of the services using the results of the multivariate sensitivity analysis


Our study of ANC provision in 8 health centres in Ventanilla District (Peru) found an average cost of $31.3 (95 %CI $29.7–$33.5) per ANC visit. These results are consistent with the findings of similar studies conducted in the region. Borghi et al. found an average cost for ANC visit of $31.1 in Rosario publicly maternity services in Argentina. In their study, personnel costs represented the highest proportion of total cost 91 % [20]. Cahuana et al. estimated the cost of different maternal and child interventions in Morelos state in Mexico. Here, ANC cost ranged between $38 and $55 depending on the cost estimation methodology used [21].

Comparing the different facilities in our study reveals that, although Ventanilla Baja had the lowest total costs of provision of ANC, it had the highest average cost per visit. In contrast, Mi Peru had one of the highest total costs of provision but it had the lowest average cost per visit, suggesting economies of scale. The range of unit visit cost seen amongst the different health centres can be explained based on the major cost drivers. As discussed, recurrent cost and personnel cost among them account for more than 70 % of the total cost of ANC provision. If we analyse the productivity of the midwives in terms of ANC visits per year (Table 6), we see that the lowest ratio is in Ventanilla Baja. In contrast, the highest ratio of visits per midwife per year is in Mi Peru, yielding the lowest cost per ANC visit. This relationship is also seen in Villa de los Reyes, Defensores, Santa Rosa and 3 de Febrero.

However, there were two health centres where midwives conducted high numbers of ANC visits but the unit ANC visit costs were also high (Peru Korea and Marquez). In Peru Korea, this may be due to the low number of ANC visits provided to each woman while, in Marquez it may be due to the high cost of the first visit. In addition, both these facilities have higher complexity (level I-4 according to the Peruvian Ministry of health) and this may mean that their operational costs are higher.

Thus, if the number of visits per woman is low (Peru Korea) or the cost of the first visit is significantly higher than the rest (Marquez or Ventanilla Baja) the unit cost of ANC provision rises.

We also aimed to compare the fee reimbursed by the SIS per ANC visit ($3.8) with the actual cost of the services that are supposed to be covered by this fee. We estimated that the actual cost of providing those services were on average $3.4 ($3.0–$3.9) per ANC visit. Our multivariate analysis allowed us to investigate how sensitive these results were to uncertainties in our input parameters and we found that in 98.6 % of cases, the fee reimbursed would cover the actual cost incurred by the health facility. This is not consistent with other published estimates where differences between SIS and the actual cost of other services provided varied between 7 % less and 32 % more than the SIS fee [6, 15, 22].

Our results suggest that the current system of ANC provision in Ventanilla District may be sustainable in the short run. However, a number of factors may affect the overall sustainability. Firstly, we found that the SIS fee did not cover the cost in three out of eight health facilities. This suggests a potential problem, although, due to our relatively small sample size, we cannot apply these findings to the country.

Secondly, SIS funds only account for slightly more than 10 % of the total cost of providing ANC services and their potential impact on the overall sustainability is limited.

Thirdly, current evidence suggests that since the launch of SIS in 2002, a significant number of people have gained access to services in public health facilities (ANC service and other) [23, 24]. In addition, a number of other interventions are being implemented in the region to further increase uptake of different preventive services. The budgetary implications of this increased demand are not well understood and they will need to be addressed in the near future.

Another issue of note is that SIS covers only ANC visits but no other clinical event during pregnancy, such as, a respiratory infection or a urinary infection. Treatment for these events is covered by central funds from the DIRESA and individual health facility funds.

Finally, the share allocated by the MoH to each region is usually based on historical budgets and it is difficult to see dramatic changes in short periods of time [15]. While SIS funds are directly dependant on the number of services provided, MoH funds are less flexible to adapt to the increased demand (i.e. recruitment of new staff usually takes months in the public system). Therefore, there is a risk of progressively impoverishing the public health network as demand increases. Although neither this nor the volume of resources involved have been properly documented by the regional offices, SIS funds have been used as a stopgap to pay other recurrent costs such as, personnel cost in order to meet the demand of curative and preventive services [6].

The system would benefit from stronger coordination among the different funding sources and from a continuous monitoring and evaluation of the resources needed in individual health facilities. For instance, the MoH should be willing and able to transfer extra salary funds to those health centres that experience demand beyond their capacity. Similarly, there should be regular assessments of the adequacy of capital resources used and increased funding provision for major refurbishments, extensions or completely new health centres buildings.

There are a number of limitations to our study. First, the cost estimates calculated are based on actual resources spent and recorded in the accounting records of the DIRESA. However, some facilities were under-resourced. Therefore, a low cost per visit could reflect insufficient resources rather than efficiency.

Second, the DIRESA accounting system is weak and some of the costs are not properly captured. Therefore, some cost information has been estimated by senior officials at DIRESA. Nevertheless, according to the information provided by the Regional Health Office, these represent the opportunity costs of the use of those resources.

Third, we have used a non-randomised purposive sampling to identify the facilities included in the study that could limit the external validity of our results. However, we included in our sample facilities of different degree of complexity and from all four sub-networks in Ventanilla District.

Lastly, we restricted our analysis to health provider costs, potentially underestimating the true cost of ANC visits.


The cost of providing ANC services is consistent with other estimates in the region with the biggest proportion comprised of personnel cost. Our analysis suggests that the fee reimbursed by the Seguro Integral de Salud for each ANC visit is enough to cover the cost incurred by the health facility. However, there are significant threats to medium and longer term sustainability of this system as fee transfers represent a small fraction of the total cost of providing ANC. Increasing ANC coverage would require greater flexibility in other funding sources to the DIRESA in order to meet an increased demand.


  1. 1.

    World Health Organization. The world health report—health systems financing: the path to universal coverage. Geneva: World Health Organization; 2010.

    Google Scholar 

  2. 2.

    Acharya A, Vellakkal S, Taylor F, Masset E, Satija A, Burke M et al. The impact of health insurance schemes for the informal sector in low and middle-income countries. A systematic review: The World Bank2013. Report No.: WPS6324.

  3. 3.

    del Pueblo Defensoria. Atención de Salud para los más pobres: El Seguro Integral de Salud. Lima: Defernsoría del Pueblo; 2007.

    Google Scholar 

  4. 4.

    Huarachi Quintanilla LA, Del Carmen Sara J, Romero Onofre R, Grillo Rojas P, Aldana Carrasco JE, Silva Chicoma MdC. Evaluación del efecto del Seguro Integral de Salud en los indicadores de salud pública y gasto de bolsillo periodo 2002–2009. Lima: Gerencia de Operaciones. Ministerio de Salud de Peru, 2011.

  5. 5.

    Eijkenaar F, Emmert M, Scheppach M, Schoffski O. Effects of pay for performance in health care: a systematic review of systematic reviews. Health Policy. 2013;110(2–3):115–30. doi:10.1016/j.healthpol.2013.01.008.

    Article  PubMed  Google Scholar 

  6. 6.

    Cid C, Prieto L, Muñoz R. Fortalecimiento de la gestión económico-financiera del Seguro Integral de Salud: Health System 20/202008.

  7. 7.

    Alvarado-Jaramillo JC, Gonzáles-Ramos AJ, Mendoza-Arana P. Análisis de costos en dos unidades de cuidados intensivos pediátricos del Ministerio de Salud del Perú. An Fac med. 2011;72(4):249–54.

    Google Scholar 

  8. 8.

    DIRESA Callao. Estadistica. 2014. Accessed 15/12/2014.

  9. 9.

    Di Mario S. What is the effectiveness of antenatal care? (Supplement). Copenhagen: WHO Regional Office for Europe (Health Evidence Network) 2005.

  10. 10.

    Dirección General de Salud de las Personas. Guías Nacionales de Atención Integral de la Salud Sexual y Reproductiva. Lima: Ministerio de Salud de Peru; 2004.

    Google Scholar 

  11. 11.

    Ley Marco de Aseguramiento Universal en Salud y su Reglamento: Documento técnico, 29344. 2011.

  12. 12.

    Aprueban parámetros de negociación para la celebración de convenios entre el Seguro Integral de Salud y las Instituciones Prestadoras de Servicios de Salud (IPRESS) Públicas, 991–2012. 2012.

  13. 13.

    Resolucion Ministerial 226—2011/MINSA, 226/2011. 2011.

  14. 14.

    Ministerio de Salud de Peru. Guía de orientación para la incorporación y uso de las transferencia financieras efectuadas por el SIS. Lima: Ministerio de Salud de Peru; 2010.

    Google Scholar 

  15. 15.

    Alvarado B, Moron E. The route of expenditures and decision making in the Health Sector in Peru. Lima: Centro de Investigación de la Universidad del Pacífico; 2008.

    Google Scholar 

  16. 16.

    Ministerio de Economia y Finanzas. Tipo de cambio (Nuevos Soles por US Dolar). Ministerio de Economia y Finanzas, Lima. 2014. Accessed 15/12/2014.

  17. 17.

    Resolucion Ministerial 195-2009/MINSA. Metodología para la estimación de costos estandar en los establecimientos de salud., 195/2009. 2009.

  18. 18.

    Conteh L, Walker D. Cost and unit cost calculations using step-down accounting. Health Policy Plan. 2004;19(2):127–35. doi:10.1093/heapol/czh015.

    Article  PubMed  Google Scholar 

  19. 19.

    Drummond M, Sculpher M, Torrance G, O’Brien BJ, Stoddart GL. Methods for the economic evaluation of health care programmes. 2nd ed. New York: Oxford University Press; 2005.

    Google Scholar 

  20. 20.

    Borghi J, Bastus S, Belizan M, Carroli G, Hutton G, Fox-Rushby J. Costs of publicly provided maternity services in Rosario, Argentina. Salud publica de Mexico. 2003;45(1):27–34.

    Article  PubMed  Google Scholar 

  21. 21.

    Cahuana-Hurtado L, Sosa-Rubí S, Bertozzi S. Costo de la atención materno infantil en el Estado de Morelos, Mexico. Salud publica de Mexico. 2004;46(4):316–25.

    Article  PubMed  Google Scholar 

  22. 22.

    Carreño Escobedo R, Llanos Zavalaga LF. Costs for reimbursement of the Integral Health Insurance (SIS) in Peru. Revista Medica Herediana. 2002;19(1):11–7.

    Google Scholar 

  23. 23.

    Frencke P. Peru’s comprehensive health insurance and new challenges for universal coverage. UNICO studies series. Washington, DC: The World Bank; 2013.

    Google Scholar 

  24. 24.

    Ministerio de Salud de Peru. Boletin Estadistico 2014. Primer Trimestre: Superintendencia Nacional de Salud. 2014.

Download references

Authors’ contributions

DCM, KH, FTP and PJG designed the study. DCM and JPL carried out data collection. DCM conducted data analysis. All authors participated in interpreting the findings and drafting the paper. All authors read and approved the final manuscript.


The authors would like to thank Laura Monzon for her support in the data collection and for very useful comments to the manuscript. We are also grateful to the staff of the Callao Regional Health Office (DIRESA-Callao) for their assistance during the field work. Special thanks to Joyce Desposorio for her support for planning and undertaking the data collection. Financial support for this study was provided by Grand Challenges Canada grant number 0008-02-03-01-01. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Compliance with ethical guidelines

Competing interests The authors declare that they have no competing interests.

Author information



Corresponding author

Correspondence to Daniel Cobos Muñoz.

Additional file


Additional file 1. General characteristics of Ventanilla District health centres, source of information of cost categories collected, cost allocation criteria and data collection tools.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cobos Muñoz, D., Hansen, K.S., Terris-Prestholt, F. et al. Matching comprehensive health insurance reimbursements to their real costs: the case of antenatal care visits in a region of Peru. Cost Eff Resour Alloc 13, 16 (2015).

Download citation


  • Antenatal care
  • Cost
  • Social health insurance
  • Sustainability