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Inquiry: A Journal of Medical Care Organization, Provision and Financing logoLink to Inquiry: A Journal of Medical Care Organization, Provision and Financing
. 2022 Mar 22;59:00469580221078514. doi: 10.1177/00469580221078514

Procurement Practice of Program Drugs and Its Challenges at the Ethiopian Pharmaceuticals Supply Agency: A Mixed Methods Study

Bekele Boche 1,, Tidenek Mulugeta 1, Tadesse Gudeta 1
PMCID: PMC8943532  PMID: 35316108

Abstract

Background

Effective drug procurement guarantees the sustainable supply of products for health and eliminates excessive costs. However, there is limited information on the area of pharmaceutical procurement practice in Ethiopia. Thus, this study aimed at assessing the procurement practices of program drugs and its challenges at the Ethiopian Pharmaceuticals Supply Agency.

Methods

A cross-sectional study accompanied by qualitative assessment was conducted between February 21 and April 20/2020 to examine the procurement practice of the Ethiopian pharmaceutical supply agency. The quantitative data were gathered by reviewing documents and electronic records. Mean forecast error, price paid to international price reference, number of emergency orders placed, and lead time variability were the measurements used to assess the procurement practice. A statistical package for the social sciences version 23 was used to analyze the data. The results were then summarized using tables and texts. The qualitative data were collated through face-to-face in-depth interviews to explore the challenges behind the procurement practice. And the data were analyzed manually using the thematic analysis technique.

Results

The agency had its own procurement list which defines the items to be procured. The overall mean forecast error in the 2018/19 budget year was 27.8%. Of the 70 program commodities included in the study, 52 (74.3%) items had a mean price less than the international price reference. Three of the 14 orders (21.4%) placed in the aforementioned year were emergency purchases made through direct procurement. The mean lead time for the suppliers of the agency was 137.3 days. Poor data quality from service delivery points, staff capacity constraints, communication problems, and policy issues became the major challenges to implement an effective procurement system in the agency.

Conclusion

The procurement practice at the agency has strong side. However, it was not without weaknesses. Using a procurement list is a worthwhile practice. Despite this, much remains to improve lead times and forecasting accuracy.

Keywords: Ethiopia, procurement practice, program commodities, quantification, selection


  • What do we already know about this topic?

  • • Procurement of health commodities is the most crucial aspect of pharmaceutical logistics management. It is particularly important for low- and middle-income countries, because these countries import majority of their drug requirements from other countries and devote one-third of their health-care expenditure on it.

  • How does your research contribute to the field?

  • • The study came up with an analysis of the drug procurement practice and its challenges at Ethiopian pharmaceutical supply agency. The finding pinpoints the source of the problem in the procurement process and paves a way to address product stockouts and service disruptions resulting from ineffective procurement.

  • What are your research’s implications towards theory, practice, or policy?

  • • One of the outcomes of efficient procurement is the availability of products. Thus, the finding has an implication on EPSA’s goal of achieving 100% product availability in the country. Product availability, in turn, has an influence on the quality of service provided by the lower-level health institutions supplied by the agency.

Introduction

Procurement is an important step in the pharmaceutical logistics system and ensures the availability of the right pharmaceuticals, in the right quantities, at reasonable prices, and accepted standards of quality. 1

A procurement process for health commodity begins with the selection and specifications of products, followed by forecasting and tender preparation. 2 World Health Organization (WHO) recommends the selection of drugs based on a list of common diseases and standard treatment guidelines. With fewer selected products, the service delivery points and central warehouses can become familiar with the items and manage them well. 3 Designated essential drug list guides the procurement process and simplifies the supply of medicines in public health facilities.1,4

After selection, the quantity and cost of each commodity must be estimated. The estimation outputs then used to advise higher-level decision-makers on the funding and priorities of purchase. 5 Given the complexities of forecasting processes across multiple industries, supply chains of many organizations aim to achieve a reasonably accurate estimate of potential demands for sustainable service delivery. 6

Pharmaceutical purchase accounts for the largest healthcare costs in any country in the world, varying from 5% to 12% in developed countries and up to 40% in developing countries. Despite such heavy spending, one-third of the world population lacks access to essential health commodities, which goes up to 1 half in Asia and Africa.7,8 A report from Kenya shows that weak procurement practices have resulted in high procurement expenditure, and increased lead times. In 2016, the average lead time from tendering to initial delivery at Kenya Medical Supplies Agency (KEMSA) was 6 months. Delayed deliveries resulting in loss of life were also among the complaints of the health facilities. 9

In recent decades, the complexities of the public health supply chains, the volumes, and varieties of health commodities have significantly increased. It led to disrupted procurement and supply systems. The problem is much worse in low-and middle-income countries where the supply chain is fragile. 10 Especially, drugs and supplies for the management of Tuberculosis (TB), malaria, HIV (Human Immuno Deficiency Virus), and maternal and child health are not easily accessible.11,12 They are acquired from international vendors through the sponsorship of donor agencies such as the Global Fund and United States Agency for International Development (USAID).11-14 Thus, coping with the risk of non-availability and wastage of pharmaceuticals is a daily concern for the logistics officers.15,16

In 2017, the Global Fund (GF) spent US$ 32.6 billion to support HIV, Tuberculosis, and malaria services, accounting for nearly 40% of grant expenses. 16 Even though such huge amount of fund is spent, the GF’s executive director emphasized that the world is not on track to achieve the Sustainable Development Goal 3 (SDG3) to end these 3 epidemics by 2030. 17

There is also a lack of access to life-saving maternal and child health products globally. 18 A survey from 8 countries in sub-Saharan Africa shows that the mean availability of priority essential medicines for women and children ranged from 22% to 57%. 19 Ethiopia is the sub-Saharan African countries and the second highly populated next to Nigeria, with a population size of 112.07 million. 20 The country is not immune to the problems in the supply chain that other developing nations face. 21 The service delivery points including health facilities experience frequent shortage of vital items, lower inventory turnover, expiration, and damage of essential medicines.22,23

Ethiopian Pharmaceutical Supply Agency (EPSA) is mandated at the national level to provide all public health facilities in a sustainable manner with affordable and reliable pharmaceuticals. 22 It is a public agency and is accountable to the Federal Ministry of Health (FMoH). 23

Review of literatures reveals that previous studies in Ethiopia gave prominence to inventory management, storage conditions, and information systems.21-26 The procurement of program drugs in Ethiopia is nationally pooled. However, primary research settings for majority of these previous studies were public health facilities. As to the best search of the investigators, no study has yet evaluated how procurement activities are carried out by EPSA. The study, thus, investigated the procurement practices of program commodities and its challenges at the Pharmaceuticals Supply Agency of Ethiopia.

Methods

Study Area, Design, and Period

A cross-sectional study accompanied by qualitative assessment was conducted between February 21 and April 20/2020 at Ethiopian Pharmaceutical Supply Agency (EPSA) head office which is based at the capital city of the country, Addis Ababa. EPSA was established in 2007 through restructuring the former PHARMID (Pharmaceuticals and Medical Supplies Service and Distributer). It was known by a name Pharmaceuticals Fund and Supply Agency (PFSA) until recently (2019) renamed to EPSA. The agency has 19 hubs in all regions of Ethiopia but only the head office carries out the procurement practices. Within the main hub, there are 19 directorates. Among these directorates, six of them focus on core logistic operations. Namely, quantification and market shaping, distribution and fleet management, contract management, management information systems, tender management and warehouse and inventory management. 27

Source Population, Study Population, and Data Sources

The source population included staffs of EPSA as well as all pharmaceuticals currently managed by EPSA. All program commodities for HIV/AIDS, TB, malaria, and maternal and child health were assessed (Appendix D). And professionals involved in managing the procurement of those commodities were the study populations. The data sources were documents used to manage the procurement of the program commodities.

Sample Size Determination and Sampling Procedures

Sampling of Pharmaceuticals: All program pharmaceuticals, used for HIV/AIDS, TB, malaria, and maternal and child health (Appendix D) as specified on EPSA 2018 pharmaceutical procurement list were considered. These comprised 17 HIV/AIDS, 31 TB, 12 MCH, and 10 malaria items. 28

Document Selection and Sampling: All documents used for quantification and procurement activities of the mentioned program pharmaceuticals in 2018/19 budget year were reviewed. Accordingly, 14 contract management documents, 39 purchase order documents, 39 receiving documents (model 19), and 108 issuance documents (model 22) were reviewed. In addition to model 22, the agency’s Health Commodity Management Information System (HCMIS) software was also checked for accessing consumption data to quantify forecast errors.

Participant Selection and Sampling for In-depth Interview:

was employed to recruit study participants from the directorates of quantification and market shaping as well as from tender and contract management. The participants were selected based on their role and service year as they are more familiar in practice and challenges in the agency. Sixteen informants of various profiles were enrolled in the interviews. The number of interviewees was determined based on assumed information saturation. The interviews get completed when the participants began repeating what has been said.

Data Collection Procedures

Checklists and in-depth interview guides were used as a tool to gather the relevant data (Supplementary Appendix E). The checklists were adapted from the USAID/deliver project’s Logistics Indicator Assessment Tool and Methodology for Assessing Procurement Systems.29,30 These checklists were used to capture data from quantification and procurement documents/electronic records. Accordingly, Model 22 and HCMIS software were consulted to obtain data for calculating forecast errors. Moreover, purchase orders, contract management documents, and Model 19 were used to extract data like opening date of a letter of credit (LC), frequency of deliveries, number of emergency purchases, methods of procurement and quantifications, sources of commodities, and arrival time of the commodities.

The second tool used was an interview guide adapted from the USAID/deliver project’s Logistics System Assessment Tool (LSAT). 31 The tool contained in-depth and probing questions. The interviews were conducted face-to-face with informants, and the principal investigator moderated the discussion to ensure data consistency. The response of each participant was audio-recorded and notes were taken. Each interview on the average lasted for 25 minutes, and a local language Amharic was used for discussions. The interviews were held at each participant’s workplace, and rapport was built with each.

Measurements

The following key indicators were adapted from Logistics Indicator Assessment Tool (LIAT) to characterize the agency’s procurement activities. 29

Forecasting Errors: metric helps to measure the proportion of the disparity between the previous year’s projection and the actual demand for that year. It can be determined by applying the following formula:

 Forecasted consumption- actual consumption actual consumption 100.

Data were obtained from Model 22 and HCMIS for calculation of this indicator.

International Price Reference: measures the unit cost per commodity billed by the external supplier as a proportion of the mean international unit price. It is calculated as follows: International prices references =

Average unit cost of item Average international unit cost of item100

Lead time :[Date of opening the letter of credit - Date the products become ready for use after arrival]

Supplier Lead-time Variability: is the average of the absolute percentage variations between the estimated lead time of the supplier and the actual lead time of each order spent by the supplier. It can be calculated using the following Formula:

  Forecasted lead timeactual lead time actual lead time100

Average suppliers lead time: It is determined by dividing the sum of the vendors' lead times by the number of orders in days.

Data analysis: The quantitative data were cleared, coded, and entered into the Statistical Package for Social Sciences (SPSS) version 23 for analysis. To estimate the forecasting error and procurement price variation, descriptive statistics including mean, standard deviation, and minimum and maximum values were computed. The results were presented using tables and texts. The qualitative data were transcribed with verbatim transcription after the audio-record listening. Repetitive readings were made to get accustomed with the data. Then, codes were assigned and inter-code consistencies were checked. A code book manual was developed, and then, the principal investigator re-coded the whole data by refining from the code book. The codes were clustered into categories and themes were developed by linking related categories. The themes were summarized and opinions among interviewees were quoted to explain some important issues. Finally, the quantitative findings were triangulated with the quantitative results at the discussion phase and thus a partial mixed method.

Data Quality Assurance and Trustworthiness

A pre-test was conducted to check the clarity and validity of the tools. Besides, the investigators closely monitored the data collection process and every time after data collection, the checklists were reviewed for completeness. To maintain trustworthiness of the qualitative data, in-depth interview was conducted with participants who have relevant experience and expertise. Member checking was done at the end of data collection by summarizing major thematic areas that have emerged during the interview. Team members of the research also reviewed and gave their comment on the report. Audit trail was done by an experienced researchers to verify the interpretations of the findings. To ensure transferability, the whole research process, were explained extensively. To ensure dependability, the methodological approaches followed were clearly described. A detailed chronology of research activities was audited by the research team and other experts. Conformability of the study was ensured through research team’s self-reflectivity and bracketing. The investigators were pharmacists who have experience of working in health facilities and an academic institution. Moreover, they had participated in trainings related to pharmaceutical procurement. Currently, they had a master’s degree in pharmaceutical supply chain management. Besides this, they had also experience in both qualitative and quantitative research data collection and supervision.

Operational Definitions

Agency ; refers to Ethiopian Pharmaceuticals agency (EPSA)

Dashboard : is a web-based tool that shows the stock status in the central and regional warehouses

Health commodities: include products for HIV/AIDS, TB, MCH, and malaria; generally, program commodities.

Lead time: the time period between opening of the letter of credit and delivery of goods to warehouses and making them ready for use. The forecasted lead time of EPSA was 90 days. 32

Supplier’s competitiveness: If EPSA invited all potential suppliers and evaluated them without any prejudice based on specific parameters it was considered as supplier’s competitiveness.

Transparency: is the procurement protocol of the EPSA, which will allow the authorized body to learn and recognize the specific procedures and processes used.

Products: Refers to Program Commodities

Program commodities: in this document, program commodities are interchangeability used with health commodities.

Results

Quantitative results: Procurement Practices of Program Commodities

Selection and quantification

A national treatment protocol and World Health Organization guidelines were used to select the required commodities. EPSA had its own procurement list and updates it regularly. It had also standard operating procedures (SOPs) for all directorates. To determine the required quantities nationally, the agency used a combination of consumption and morbidity methods. For the consumption method, the agency used reports of EPSA hubs and health facilities as a data source. For the morbidity method, disease information was obtained from the Ministry of Health. The 2018/19 budget year data review showed that the average forecast error for program products was 27.8%. Items used for malaria management had comparatively higher forecast errors, 37.3 (Table 1 and Appendix A).

Table 1.

Percentage of Forecasted Error of Program Commodities at the Central EPSA for Items Procured in 2018/19 Budget Year.

Statistics forecast error for HIV/AIDS in % Forecast error of MCH in % Forecast error of Malaria in % Forecast error for TB in %
Mean 31.7 22.9 37.3 24.4
SD 17.2 16.6 31.7 16.0
Maximum 67.4 66.6 85.1 62.2
Minimum 0.6 3.3 2.9 0.3

SD: standard deviation.

Procurement Methods

In the past year (2018/19), EPSA purchased program commodities from international and national vendors through a competitive bidding process, 67 (78.6%) except for some products and emergency purchases, 3 (21.4%). The agency had placed 14 orders in divided delivery schedules, 3 of which were emergency orders (Appendix A and C).

International Price Paid

Of the seventy program commodities chosen for the study, 52 (74.4%) of them had a median price lower than the international price paid. The highest ratio (4.878) obtained was for artemether + lumefantrine - (20 mg+120 mg) tablet (6x1) (Table 2 and Appendix B).

Table 2.

Price comparison against international price paid for program commodities at the central EPSA for items procured in 2018/19 budget year.

Variables Value
No of products 70
Mean of international price paid (IPP) .995
Standard deviation of IPP .924
Minimum of IPP .04
Maximum of IPP 4.878
Median price < IPP 52 (74.4%)
Median price >IPP 18 (25.7%)

Lead Times

Within the given year, except emergency supplies, 36 deliveries of the products were made. All of these deliveries arrived at various times in the warehouses and became ready for use. The mean suppliers' lead time was 137.3 days, and 24 (66.7%) of the deliveries were not within the acceptable duration, 90 days. The mean lead time variability of the suppliers was estimated to be 33.3% (Table 3 and Appendix C).

Table 3.

The suppliers’ lead time for program commodities at the central EPSA for items procured in 2018/19 budget year.

Suppliers lead times
No of deliveries 36.0
X¯ LT 137.3
STD LT 70.9
Min LT 52.0
Max LT 294.0
Deliveries in acceptable LT, (%) 12 (33.3)
Deliveries not in acceptable LT, (%) 24 (66.7)

X¯: mean, STD: standard deviation, Min: minimum, Max: Maximum, LT: supplier lead time in days, EPSA accepted LT: ≤ 90 days.

Qualitative results

The findings of this study were organized into 4 major themes including data quality problems, inter and intra-institutional communication related issues, staff capacity, and policy-related challenges. All these themes were described as follows.

Data Quality Related Problems

Across the interviews, participants mentioned that sound decision-making on planning, procurement, and provision of health services needs reliable information. However, most of the interviewees; in particular, quantification officers reported that the consumption and morbidity data were not quality enough to make appropriate decisions. Though trainings were delivered to enhance the reporting skills of practitioners working in health facilities, the problem still remained unresolved.

“The major problems encountered in the quantification of program commodities were inaccurate and incomplete consumption reports from service delivery points. It led to unacceptable forecasting errors, and mostly the forecasts depend on assumptions.” (40-45 years old, male, focal person of program commodities)

The participants mentioned that health facilities were expected to submit their consumption reports regularly to their respective hubs. It is a must to understand customers’ demand to make reliable forecast. The agency can only be successful if customers are submitting their demands on time. However, there were delays. Due to this problem, the agency fails short of making timely forecast. The interviewees recommended provision of frequent on job trainings and supervisions. Health facility workers shall have adequate awareness regarding quality reports and its significance in supply chain management.

“The pharmaceutical supply of the country is governed by integrated pharmaceutical logistic system. The system has set a predefined schedule of reporting for all level of health facilities and the agency’s hubs. Despite this, many facilities rarely adhere to the schedule.” (30-35 years old, male, HCMIS officer)

Communication-related issues: The participants mentioned that it is vital to have an effective communication in an organization. Especially, for firms engaged in supply chain, information is an engine that drives the whole operation. Efficient communication creates transparency and trust, and contributes to sustainable supply. However, the communication between the directorates within the EPSA and the central agency and its hubs was not as it should be. In particular, the communication problem is considerable especially between the distribution and the warehouse management units. Their communications have usually been unplanned. One of the central EPSA officers elucidated the issue as follow,

“I believe that weak coordination between departments would have a direct effect on procurement and overall organizational performance. There is no clear line of communication between the directorates of the agency and the EPSA hubs, and sometimes communications are made during the needs only.” (40-45 years old, male, procurement officer)

Additionally, the participants reported communication problems resulting from lack of staff motivation to update the dashboards regularly.

“The dashboard is not updated periodically, and even after updating, most of the time, it does not display the right quantity of items available. As a result, the hubs are not sure how much to request; they submit large orders in anticipation of receiving at least the minimum amount that covers their demand.” (35-40 years old, male, procurement officer)

Besides, some of the respondents reported late response from the drug regulatory authority of the country that is responsible for approving the purchase and import of pharmaceuticals. This ultimately results in delay of processing purchases.

“The national regulatory authority which is mandated to grant pre-import permit has multiple duties. This caused delayed response which could be alleviated by establishing resilient and technology assisted communication system.” (50-55years old, male, contract management officer)

Staff-Capacity Building Related Issues: Effective procurement requires skilled professionals having theoretical knowledge, prolonged training, and competence. The agency however, had shortage of well-trained human resources. Junior workers were participating in sourcing activities, but EPSA works with foreign vendors which need a comprehensive understanding of the supply chain. Professionalism in pharmaceutical procurement does not relate only to having basic knowledge about pharmaceuticals, but also to specialization in the area.

One of the EPSA officers explained the issues as follows,

“The Agency has a shortage of qualified professionals in the field of supply chain management, especially in procurement practices. Almost all of the workers are health practitioners with no specialties or specializations other than supply chain management.(30-35 years old, male, contract management officer)

Further the participants mentioned that long term professional trainings are not usually served for the workers.

“I think that professionalism had a great influence on the procurement performance of the agency. Not only our agency, but also every organization should focus on professionalism in order to enhance its performance. Employment of professionally trained and qualified procurement staff should be emphasized and implemented. Majority of the staff needs to have a graduate level training on supply chain and logistics management. However, these educational opportunities are rarely facilitated by the agency.” (40-45 years old, male, contract management officer)

Procurement Policy Related Challenges

Pharmaceutical purchasing has its own special features which makes it different from any other ordinary purchase. However due to lack of a separate customized procurement policy, the agency is obliged to abide to the national public procurement policy which does not consider the special nature of pharmaceuticals.

“It is good to have an abiding policy framework. However, the public procurement manual currently in effect is less flexible and is not customized to pharmaceutical purchase. The procurement in the health sector requires a tailored approach. Sometimes, pandemics and emergency calls might arise that need abrupt response. Such situations usually don’t give time to follow the whole principles of the manual.” (45-50years old, male, procurement officer)

Discussion

The procurement of selected essential medicines enables one to recognize and maintain the availability of medicinal products in supply chain facilities. 1 In the present report, EPSA had established lists for the purchase of program commodities and updated regularly. It is good practice and coincided with the WHO concept of essential medicines. 33

The quantification findings allow program managers to assess the financing and procurement of the products needed so that supplies become available continuously, and resources used effectively. 34 In the current study, the mean percentage forecast error of the program commodities was 27.8%. It is a little bit higher than the acceptable threshold that is less than 25%. 35 Though forecast errors cannot be totally avoided, there is a need for stringent oversight of the quantification procedures to avoid overage and stock out. A small fraction of discrepancy of these critical program items may cost significant resources. To make up this problem, working on data quality improvement is indispensable. From in-depth interviews, the major challenges in the quantification of program commodities were erroneous, incomplete, and late reporting from service delivery points.

There was, also, variation in forecast accuracy among individual items. For example, the forecast errors for HIV/AIDS and malaria commodities were 31.71% and 37.25%, respectively, which deviate from the normal range. The results of this report are higher than those of the study done in Tanzania 36 and Benin with a mean forecast error of 19% for program items. 37 The disparity may be attributed to data quality issues and communication problems resulting from lack of staff motivation to update the dashboards regularly in the current study. This underscores a need to alert the staffs working on dash boards about their role in ensuring sustainable supply and its impact on the survival of many more patients.

In this study, the ratio of average international price charged (IPP) for the selected program commodities were 0.995 and 52 (74.3%) of the products had the mean price paid less than the international price index (1). It is comparable to the international price paid by Kenya Medical Supplies Agency (KEMSA) for both locally produced and imported medicines. 37 The lesser the proportion of the average international price paid, the greater the cost savings. 38 A ratio of average international price paid less than 1, indicates more cost savings and acceptable level of price. In contrast, a ratio of average international price paid greater than 1, is not tolerable. It is taken as the agency is paying superior to international prices and is one of poor procurement practice indicators. 32 The current finding is acceptable as it showed negotiation power is on the side of EPSA. Hence, the firm was successful in lowering purchase prices. However, the price charged for Artemether + lumefantrine (20 mg+120 mg) tablet, 4.878, was around 5 times higher than the international price reference. The reasons were malaria outbreaks which necessitate emergency orders. Emergency procurement purchases might have increased the price of the product.

Concerning procurement lead time, on average, it took 137.3 days from the opening of the letter of credit to the availing products for use in the EPSA warehouse, which was longer than the duration fixed by EPSA. 39 And the orders might delay up to 294 days. It is also higher than the expected lead time of 120 days for the 2015 Ethiopian Health Sector Development Program (HSDP-4). 40 It suggests that EPSA may not expedite suppliers to meet the delivery time, or that there may be weak coordination among units within the agency as evidenced by in-depth interviews. Extended lead times, especially, for items sourced from foreign suppliers can lead to prolonged stock out, emergency supply, increased logistics costs, and customer dissatisfaction. 41 Findings from the in-depth interview showed that extended time taken to get pre-import permit has also contributed to the delays. The finding suggests the need to develop a system of communication and coordination in between directorates as well as with the national drug regulatory authority. Moreover, the delayed delivers might be attributed to lack of enough professionals having specialized training on sourcing and supply chain management. The findings imply the need to strengthen long term capacity building programs to equip professionals in the agency with adequate knowledge and skill.

Procurement by public bodies should apply the principles of sound procurement practices, like competitive tender process. 42 In the present study, EPSA purchased majority of the program commodities from international and national vendors through a competitive bidding except for some products and emergency purchases. The finding is comparable to the reports from South Africa where procurements proceed through open tender except for emergency cases. 43 The in-depth interview participants, however, reported the need for public procurement manual that considers special features of pharmaceutical purchases and emergency needs. Therefore, further initiatives should be made to develop a procurement manual tailored for pharmaceutical purchase.

The current study has limitations. Lack of similar study for comparisons is a challenge for this study

Conclusions

In general, EPSA had both strong and weak sides regarding the procurement practices of program commodities. The selection procedure was encouraging as it depended on the national and WHO guidelines. The average price charged for the commodities was optimal and cost-saving. However, issues like forecast errors and the average procurement lead time require substantial improvements.

Supplemental Material

sj-pdf-1-inq-10.1177_00469580221078514 – Supplemental Material for Procurement Practice of Program Drugs and Its Challenges at the Ethiopian Pharmaceuticals Supply Agency: A Mixed Methods Study

Supplemental Material, sj-pdf-1-inq-10.1177_00469580221078514 for Procurement Practice of Program Drugs and Its Challenges at the Ethiopian Pharmaceuticals Supply Agency: A Mixed Methods Study by Bekele Boche, Tidenek Mulugeta and Tadesse Gudeta in INQUIRY: The Journal of Health Care Organization, Provision, and Financing

Acknowledgments

We thank Jimma University for creating this opportunity. We extend our heartfelt gratitude to our data collectors, study participants, and central Ethiopian Pharmaceuticals Supply Agency for their cooperation.

Appendix A. Forecast error of program commodities at the central EPSA for items procured in 2018/19 budget year

Lists of Products Forecasted quantity (A) Actual consumption(B) Absolute value of forecast difference/A-B/ Percentage of forecast error
HIV-AIDS drugs
 ABC 300 mg tab 41 279 33 781 7498 22.2
 Atazinavir/r300 mg + 100 mg tab 165 050 117 130 47 920 40.9
 Efavirenze 200 mg capsule 23 548 30 848 7300 23.7
 Efavirence 50 mg capsule 84 897 59 184 25 713 43.5
 Efavirence 600 mg tab 601 966 805 893 203 927 25.3
 Lamivudine (3 TC) 150 mg tab 70 239 47 093 23 146 49.2
 3 TC +EFV + TDF (300 + 600 + 300)mg tab* 3683641 3193578 490 063 15.3
 3 TC + NVP + AZT (150 + 200 + 300)mg tab* 794 864 1361341 566 477 41.6
 3 TC + NVP + AZT (30 + 50 + 60)mg tab* 279 603 281 272 1669 0.6
 3 TC + TDF (300 mg + 300 mg) tablet 675 676 696 869 21 193 3.0
 3 TC + AZT (150 + 300)mg tablet* 677 856 854 037 176 181 20.6
 3 TC + AZT (30 + 60)mg tab 95 945 161 106 65 161 40.5
 3 TC + ABC (30 + 60)mg tab 74 324 57 175 17 149 30.0
 LPV + RTV (100 + 25)mg tab 5712 4224 1488 35.2
 LPV + RTV (200 + 50)mg tab 28 553 59 125 30 572 51.7
 NVP 10 mg/mL, 20 mL oral suspension* 64 746 198 880 134 134 67.4
 NVP 200 mg tablet 593 323 828 962 235 639 28.4
Anti-malarial drugs
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x1) 6622 34 627 −28005 80.9
 Artemether + lumefantrine (20 +120)mg 6x2 tablet 7510 50 403 −42893 85.1
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x3) 3907 11 936 −8029 67.3
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x4) 75 953 55 787 20 166 36.2
 Artesunate - 60 mg – vial – injection 176 289 129 076 47 213 36.6
 Chloroquine phosphate - 50 mg – syrup 121 098 85 053 36 045 42.4
 Primaquine 7.5 mg tablet 96 109 93 010 3099 3.3
 Chloroquine phosphate - 150 mg – tablet 68 235 70 238 2003 2.9
 Quinine sulfate −300 mg – tablet 29 081 31 234 2153 6.9
 Rapid diagnostic test (Malaria AGPF/PV) 229 186 257 645 28 459 11.1
MCH drugs
 Condom male latex - 180mmx53 mm 28046947 24305280 3741667 15.4
 Condoms (Female) 12 754 10 854 1900 17.5
 Etonogestrel - -68 mg capsule 1205457 1022324 183 133 17.9
 IUCD(Intrauterine contraceptive device) - long acting 495 580 380 448 115 132 30.3
 Levonorgestrel - 75 mg/rod of 2rods – implant rods (sub dermal) with sterile insertion trocar 338 980 393 384 54 404 13.8
 Levonorgestrel (D-Norgestrel) - .03 mg tablet 281 912 438 792 156 880 35.8
 Levonorgestrel (D-Norgestrel) - .75 mg tablet 389 420 424 122 34 702 8.2
 Levonorgestrel (D-Norgestrel) + ethinylestradiol + ferrous fumerate - (.15 mg + .03 mg + 75 mg) – Tablet 1848974 2171040 −322066 14.8
 Medroxyprogesterone acetate - 150 mg/mL in 1 mL vial - Injection with 3 mL syringe (Aqueous suspension) 10171390 12960392 2789002 21.5
 Mifepristone + misoprostol - (200 mg (1tablet) + 200mcg (4 tablets)) – tablet 4290000 3300000 990 000 30.0
 Misoprostol - 200mcg – tablet 1861776 1117548 744 228 66.6
 Misoprostol 25mcg tablet 36 864 35 700 1164 3.3
Anti-TB drugs
 Isoniazid - (INH) 300 mg – tab 98 645 71 507 27 138 38.0
 RHZE (150 mg+75 mg+400 mg+275 mg) of 6x28 tablets + (150 mg + 75 mg) of 12x28 tablets – tablet 120 677 139 203 18 526 13.3
 Pyridoxine HCL - 25 mg – tablet 354 089 289 444 64 645 22.3
 Ethambutol - 400 mg – tablet 224 286 62 21.7
 Ethambutol - 100 mg – tablet 29 337 33 882 4545 13.4
 Isoniazid - 100 mg –tablet 82 645 77 488 5157 6.7
 RH - (75 mg + 50 mg) – tablet 69 773 90 765 20 992 23.1
 RHZ -(75 mg + 50 mg + 150 mg) – tablet 34 530 34 044 486 1.4
 Amino salicylic acid delayed - release granules, 4gms – solution 1492 1050 442 42.1
 Amoxicillin + clavulanic acid - (500 mg +125 mg) – tablet (film coated) 15 606 11 528 4078 35.4
 Capreomycin - 1g in vial – powder for injection 154 710 126 107 28 603 22.7
 Cycloserine - 250mg – capsule 14 180 25 178 10 998 43.7
 Kanamycin sulfate - 1gm/4 mL – injection 3361 4634 1273 27.5
 Levofloxacin - 250 mg – tablet 15 241 13 640 1601 11.8
 Moxifloxacin-400mg – tablet 1278 788 490 62.2
 Prothionamide - 250 mg – tablet 15 011 9767 5244 53.7
 Pyrazinamide - 400g – tablet 3167 5766 2599 45.1
 Bedaquiline - 100mg –tablet 259 174 85 48.9
 Linezolid - 600mg – tablet 5480 4658 822 17.7
 Clofazimine - 100mg – tablet 4 6 2 33.3
 Clofazimine - 50mg – tablet 819 732 87 11.9
 Delamanid - 50 mg – tablet 42 50 8 16.0
 Auramine - O 50 mg 4222 4209 13 0.3
 Auramine - O - 1000 mg 42 51 9 17.7
 Basic fuchsine – crystal 25gm 500 450 50 11.1
 Ethanol - 96% RL 1000 mL 5257 5809 552 9.5
 Hydrochloric Acid - concentrated 37% 146 199 53 26.6
 Immersion oil 100 mL 1100 1411 311 22.0
 Methylene Blue - powder 25g 194 315 121 38.4
 Phenol – crystal 500 mg 1679 2007 328 16.3
 Phenol – crystal 1000 mg 180 174 4 3.5
Mean percentage forecast error 27.8%

* = products purchased by emergency procurement.

Appendix B. International price paid reference of program commodities at the central EPSA for items procured in 2018/19 budget year.

Lists of products EPSA Price paid (in $) International price ($) Ratio of international price reference
HIV-AIDS Drugs
ABC 300 mg tab .134 .29 .462
Atazinavir/r300 mg + 100 mg tab .468 .904 .518
Efavirenze 200 mg capsule .035 .0457 .766
Efavirence 50 mg capsule .0357 .0442 .808
Efavirence 600 mg tab .0987 .1333 .59
Lamivudine (3 TC) 150 mg tab .023 .0274 .839
3TC +EFV + TDF (300 + 600 + 300)mg tab* .201 .326 .617
3TC + NVP + AZT (150 + 200 + 300)mg tab* .1035 .1442 .718
3TC + NVP + AZT (30 + 50 + 60)mg tab* .0597 .0643 .928
3TC + TDF (300 mg + 300 mg) tab .1047 .1573 .666
3TC + AZT (150 + 300)mg tab .076 .1208 .629
3TC + AZT (30 + 60)mg tab .0243 .0348 .698
3TC + ABC (30 + 60)mg tab .0485 .0711 .682
LPV + RTV (100 + 25)mg tab .1189 .073 1.629
LPV + RTV (200 + 50)mg tab .1235 .203 .608
NVP 10 mg/mL oral suspension .0132 .013 1.015
NVP 200 mg tab .0268 .0583 .46
Anti-malarial drugs
 Artemether + lumefantrine – (20 mg+120 mg) tablet (6x1) 2.43 .4982 4.878
 Artemether + lumefantrine (20 +120)mg 6x2 tablet .602 1.1419 .527
 Artemether + lumefantrine – (20 mg+120 mg) tablet (6x3) .729 1.2303 .593
 Artemether + lumefantrine – (20 mg+120 mg) tablet (6x4) 1.031 1.4862 .694
 Artesunate - 60 mg – vial – injection 1.26 1.91 .66
 Chloroquine phosphate – 50 mg – syrup .0162 .0208 .779
 primaquine 7.5 mg tablet .0263 .0228 1.154
 Chloroquine Phosphate - 150 mg – tablet .00614 .027 .227
 Quinine Sulfate - 300 mg – tablet .044 .0591 .745
 Rapid diagnostic test (Malaria AGPF/PV) .2932 .6085 .482
 Condom male latex - 180mmx53 mm .03 .0335 .896
 Condoms (Female) .831 .8412 .988
 Etonogestrel - 68 mg – capsule 2.74 9.415 .291
 IUCD(intrauterine contraceptive device) – long acting .29 7.2999 .04
 Levonorgestrel - 75 mg/rod of 2rods – implant rods (sub dermal) with sterile insertion trocar 7.43 5.55 1.323
 Levonorgestrel (D-Norgestrel) – .03 mg tablet .7356 .5667 1.298
 Levonorgestrel (D-Norgestrel) – .75 m .203 .225 .902
 Levonorgestrel (D-Norgestrel) + Eehinylestradiol + ferrous fumerate – (.15 mg + .03 mg +75 mg) – tablet 0.3 1.198 .25
 Medroxyprogesterone acetate - 150 mg/mL in 1 mL vial – injection with 3 mL syringe (aqueous suspension) .41 .5824 .704
 Mifepristone + misoprostol – (200 mg (1Tablet) + 200mcg (4 tablets)) – tablet 2.862 1.53 1.871
 Misoprostol - 200mcg – tablet .0125 0.2 .063
 Misoprostol - 25mcg – tablet .342 .325 1.052
Anti TB drugs
 Isoniazid - (INH) 300 mg – tablet .0175 .0429 .408
 RHZE (150 mg +75 mg + 400 mg + 275 mg) of 6x28 tablets + (150 mg + 75 mg) of 12x28 tablets – tablet .031 .0693 .447
 Pyridoxine HCL - 25 mg – tablet .031 .0081 3.827
 Ethambutol - 400 mg – tablet .1578 .0402 3.925
 Ethambutol - 100 mg – tablet .0293 .0886 .331
 Isoniazid - 100 mg –tablet .0084 .0182 .462
 RH - (75 mg+50 mg) – tablet .014 .0331 .423
 RHZ - (75 mg+50 mg+150 mg) – tablet .0188 .0233 .807
 Amino salicylic acid delayed – release granules, 4gms – solution 1.1748 2.5996 .452
 Amoxicillin + clavulanic Acid – (500 mg + 125 mg) – tablet (film coated) .135 .117 1.154
 Capreomycin - 1g in vial – powder for injection 4.47 5.3293 .839
 Cycloserine - 250mg – capsule .3742 .4238 .883
 Kanamycin sulfate - 1gm/4 mL – injection 2.139 1.0589 2.02
 Levofloxacin - 250 mg – tablet .467 .1395 3.348
 Moxifloxacin - 400mg – tablet 1.622 1.7562 .924
 Prothionamide - 250 mg – tablet .1326 .1775 .747
 Pyrazinamide - 400g – tablet .0169 .0251 .673
 Bedaquiline - 100mg – tablet 9.125 15.957 .615
 Linezolid - 600mg – tablet 6.873 5.48 1.254
 Clofazimine - 100mg – tablet .0777 1.2672 .062
 Clofazimine - 50mg – tablet .04329 .15 .289
 Delamanid - 50 mg – tablet 6.61 .165 1.092
 Auramine - O 50 mg 1.99 .999 1.991
 Auramine - O 1000 mg 2.03 8.896 .228
 Basic fuchsine – crystal 25gm 1.911 1.94 .985
 Ethanol – 96% RL 1000 mL 2.94 .0022 1.131
 Hydrochloric acid – concentrated 37% 1.99 8.896 .224
 Immersion oil 100 mL 1.1 1.2 .913
 Methylene Blue – powder 25g 1.74 .558 3.12
 Phenol – crystal 500 mg 5.23 2.12 2.466
 Phenol – crystal 1000 mg 9.02 16.26 .555
Mean of ratio of international reference prices .995

Appendix C. EPSA’s suppliers lead time for program commodities for items procured in 2018/19 budget year

No of deliveries Suppliers lead time (days) Supplier lead-time variability (%)
1 107 15.89
2 125 28
3 52 38
4 134 32.84
5 66 36.36
6 69 30.43
7 266 66.16
8 266 66.16
9 78 15.38
10 88 2.27
11 100 10
12 208 56.73
13 93 3.22
14 284 68.31
15 82 9.76
16 191 52.88
17 95 5.26
18 225 60
19 127 29.1
20 131 31.3
21 58 55.2
22 294 69.4
23 71 26.8
24 76 18.4
25 105 14.3
26 153 41.2
27 153 41.2
28 88 2.3
29 88 2.3
30 256 64.8
31 73 23.3
32 94 4.3
33 150 40.0
34 149 39.6
35 208 56.7
36 141 36.2
Average suppliers lead time 137.3days
Average % suppliers lead time variability 33.3%
Commodities purchased by emergency 17 (24.3%)

Appendix D. Lists of program drugs procured in 2018/19 budget year and their categorization at the central EPSA

Lists of drugs Basic units
HIV/AIDS drugs
 Abacavir (ABC) - 300 mg – tablet 60
 Atazanavir (ATV) + ritonavir (RTV) - (300 mg + 100 mg) – tablet 30
 Efavirenz (EFV) - 200 mg – capsule 90
 Efavirenz (EFV) - 50 mg – capsule 30
 Efavirenz (EFV) - 600 mg – tablet 30
 Lamivudine (3 TC) - 150 mg – tablet 60
 Lamivudine (3 TC) + efavirenz (EFV) +tenofovir (TDF) - (300 mg 600 mg+300 mg) – tablet 30
 Lamivudine (3 TC) + nevirapine (NVP) + zidovudine (AZT) - (150 mg + 200 mg + 300 mg) – tablet 60
 Lamivudine (3 TC) + nevirapine (NVP) + zidovudine (AZT) - (30 mg + 50 mg + 60 mg) – tablet 60
 Lamivudine (3 TC) + tenofovir (TDF) - (300 mg + 300 mg) – tablet 30
 Lamivudine (3 TC) + zidovudine (AZT) - 150 mg+300 mg) – tablet 60
 Lamivudine (3 TC) + zidovudine (AZT) - (30 mg + 60 mg) – tablet 60
 Abacavir (ABC) + lamivudine (3 TC) - (60 mg + 30 mg) – tablet 60
 Lopinavir + ritonavir - (100 mg + 25 mg) – tablet 120
 Lopinavir + ritonavir - (200 mg + 50 mg) – tablet 120
 Nevirapine - 10 mg/1 mL – oral suspension 100 mL
 Nevirapine - 200 mg – Tablet 60
Anti-malaria drugs
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x1) 30
 Artemether + lumefantrine (20 +120)mg 6x2 tablet 30
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x3) 30
 Artemether + lumefantrine - (20 mg+120 mg) tablet (6x4) 30
 Artesunate - 60 mg – vial – injection Vial
 Chloroquine phosphate - 50 mg – syrup 60 mL
 Primaquine 7.5 mg tablet 1000
 Chloroquine phosphate - 150 mg – tablet 100x10
 Quinine sulfate - 300 mg – tablet 10*10
 Rapid diagnostic test (Malaria AGPF/PV) 25
MCH drugs
 Condom male latex - 180mmx53 mm Piece
 Condoms (Female) Piece
 Etonogestrel – 68 mg – capsule Each
 IUCD(intrauterine contraceptive device) - long acting Each
 Levonorgestrel - 75 mg/rod of 2rods – implant rods (sub dermal) with sterile insertion trocar Each
 Levonorgestrel (D-Norgestrel) - .03 mg tablet Cycle
 Levonorgestrel (D-Norgestrel) - .75 mg – ablet Cycle
 Levonorgestrel (D-Norgestrel) + ethinylestradiol + ferrous fumerate - (.15 mg + .03 mg +75 mg) – tablet Cycle
 Medroxyprogesterone acetate - 150 mg/mL in 1 mL vial – injection with 3 mL syringe (Aqueous suspension) Vial
 Mifepristone + misoprostol - (200 mg (1 tablet) + 200mcg (4 tablets)) – tablet 20
 Misoprostol - 200mcg – tablet 28
 Misoprostol - 25mcg – tablet 4
Anti- TB drugs
 Isoniazid - (INH) 300 mg – tablet 24x28
 Rifampicin + isoniazid + pyrazinamide + ethambutol) + RH (rifampicin + isoniazide (RHZE) (150 mg + 75 mg + 400 mg +275 mg) of 6x28 tablets + (150 mg + 75 mg) of 12x28 tablets – tablet Kit
 Pyridoxine HCL - 25 mg – tablet 100
 Ethambutol - 400 mg – tablet 10x10
 Ethambutol - 100 mg – tablet 10x10
 Isoniazid - (INH) 100 mg – tablet 10x10
 RH (rifampicin + isoniazid) - (75 mg+50 mg) – tablet 28 x 3
 RHZ (Rifampicin + isoniazid + pyrazinamide) - (75 mg + 50 mg + 150 mg) – tablet 28 x 3
 Amino salicylic acid delayed - release granules, 4gms – solution 25
 Amoxicillin + clavulanic acid - (500 mg + 125 mg) – tablet (film coated) 2 x10
 Capreomycin - 1g in vial - powder for injection vial
 Cycloserine-250mg-capsule 100
 Kanamycin Sulfate - 1gm/4 mL – injection 10
 Levofloxacin - 250 mg – tablet 100
 Moxifloxacin - 400mg – tablet 5
 Prothionamide - 250 mg – tablet 100
 Pyrazinamide - 400g – tablet 24x28
 Bedaquiline - 100mg – tablet 188
 Linezolid - 600mg – tablet 10x10
 Clofazimine tablet 1000
 Clofazimine tablet 500
 Delamanid - 50 mg – tablet 672
 Auramine - O 50gm
 Auramine - O 100gm
 Basic fuchsine – crystal 25gm 25gm
 Ethanol - 96% RL 1000 mL 1000 mL
 Hydrochloric Acid - concentrated 37% 1 L
 Immersion oil 100 mL 100 mL
 Methylene Blue – powder 25g 25gm
 Phenol – crystal 500 mg 500 mg
 Phenol – crystal 1000 mg 1000 mg

Authors' contributions: BB participated in the designing of the study, reviewed articles, involved in the data collection process, analyzed data, interpreted data, participated in the sequence alignment and communicated for publication. TM involved in data analysis, interpretation, and drafting of the manuscript. TG participated in the design of the study, reviewed articles, involved in the data collection process, analyzed data, interpreted data, participated in the sequence alignment and drafted the manuscript. All authors read and approved the final manuscript.

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Jimma University has covered the stationery and data collection costs only

Ethical Approval: thical clearance has been received from the Institutional Review Board of Jimma University (IRB) (Ref.no.IHRPGD/607/2020) on 17 April 2020). Then letters of permission were received from the EPSA. Throughout the data collection, professional and social principles were preserved.

Informed consent: An oral consent was also received from the respondents to ascertain the willingness of the participants.

Data Availability: The data sets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Supplemental Material: Supplemental material for this article is available online.

ORCID iD

Bekele Boche https://orcid.org/0000-0002-9218-9669

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sj-pdf-1-inq-10.1177_00469580221078514 – Supplemental Material for Procurement Practice of Program Drugs and Its Challenges at the Ethiopian Pharmaceuticals Supply Agency: A Mixed Methods Study

Supplemental Material, sj-pdf-1-inq-10.1177_00469580221078514 for Procurement Practice of Program Drugs and Its Challenges at the Ethiopian Pharmaceuticals Supply Agency: A Mixed Methods Study by Bekele Boche, Tidenek Mulugeta and Tadesse Gudeta in INQUIRY: The Journal of Health Care Organization, Provision, and Financing


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