SlideShare a Scribd company logo
1 of 3
Download to read offline
International Journal of Science and Research (IJSR)
ISSN: 2319-7064
ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426
Volume 9 Issue 3, March 2020
www.ijsr.net
Licensed Under Creative Commons Attribution CC BY
Assessment of Health Supply Chain Risks in
Uganda: The Case of Uganda Health Supply Chain
Project
John Hans Wasswa1
, Angella Namulindwa2
1, 2
Uganda Management Institute (UMI)
Uganda Health Supply Chain program, Management Sciences for Health (MSH)
Abstract: This study aimed at assessing risks affecting Health supply chains in Uganda using a case of Uganda Health Supply Chain
project. The theoretical framework onto which this study was anchored was the normative decision theory of risk management. A cross-
sectional study design was adopted employingthe quantitative research approach. Asample population of 196 was used and primary data
was collected using self-administered questionnaires and analyzed using STATA statistical program. Descriptive data was presented in
form of graphs and frequency distribution tables. It was later analyzed and interpreted using percentages, frequencies, means, and
standard deviations. The study results revealed that the greatest health supply chain risks faced by health supply chain programs in
Uganda were; Financial-related risks such as cost overruns; and End user-related risks such as poor quality health commodities, poor
feedback mechanisms and loss of patient lives. Other major risks discovered by the study included demand and supply-relatedrisks
resulting from supplier unpredictability such as stock outs; Procurement-related risks such as long lead-times and inadequate technical
input; and distribution and Storage-related risks. Environmental-related risks such as accidents, bad weather and political instability
were the least faced risks. The study concluded that health supply chains in Uganda are troubled by a multitude of risks, and therefore
the study recommended that,after a clear understanding of risks affecting health supply chains has been uncovered, carefully-tailored
standard risk management processes can be establishedwithin health supply chain projects to improve the functionality of Uganda’s
health supply chain management systems.
Keywords: Health supply chain risks, Health supply chain projects, Risk management, Health supply chain management system
1. Introduction
Without a functional health supply chain management
system, a country’s health system is confronted with
extensive problems of patient dissatisfaction, increasing cost
of health services due to cost overruns, high levels of stock-
outs of medical supplies, poor quality healthcare
commodities in health facilities and poor quantification
mechanisms for needed medical commodities, among others
(Ali et al., 2012)
Health supply chain risks are a major disruption of the
functionality of any health supply chain management
system.
These disruptions can be managed by instituting standard
risk management processes, but, however, inadequate
assessment and lack of knowledge of the risks affecting
Health supply chain projects in Africa has greatly affected
any plans to establish these standard risk management
processes (Besner et al., 2012)
According to Larson (2015) a health supply chain risk is any
uncertain condition or event, that if it occurred, it has
negative or positive effects on the health supply chainproject
objectives. He further defines risk management as the
process of identification, analysis, planning, conducting risk
response and control in a project, with the ultimate aim of
reducing the probability of impact of negative events and
increasing the probability of impact of positive events.
This study therefore made a detailed assessment of risks
affecting health supply chain projects in Uganda, with an
overall aim of increasing the understanding of health supply
chain risks troubling the Uganda Health supply chain system
in order to aid the establishment of standard risk
management processes in all health supply chain programs
in Uganda
2. Methods
2.1 Study setting
Uganda Health Supply Chain program (UHSC) is one of the
many Health supply chain programs supporting the Ministry
of Health (MOH) in Uganda. Its main role is to support the
Ugandan government through the MOH to enhance
Uganda’s supply chain system through improving
accessibility, availability, affordability, and appropriate use
of good quality EMHS to Uganda’s population. UHSC
supports Uganda’s supply chain and logistics in 129
districts. Its main administration is situated in Bugolobi,
Nakawa Division, Kampala.
2.2 Study design
A cross sectional study design was adopted for this study
employing the quantitative method. (Amin, 2005)
2.3 Study population
The composition of the study population was 284 UHSC
project staff (officers and Medicine management
supervisors) and 100 end users i.e. patients in health
facilities in districts supported by UHSC, totaling to 384
Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 9
International Journal of Science and Research (IJSR)
ISSN: 2319-7064
ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426
Volume 9 Issue 3, March 2020
www.ijsr.net
Licensed Under Creative Commons Attribution CC BY
2.4 Sample size
The sample size of UHSC staff and end users that
participated in this study was determined using the Yamane
(1967) formula and was 196
2.5 Data collection methods
Questionnaire survey
The study employed a questionnaire survey method using a
semi structured and pretested questionnaire to collect data
that is quantitative in nature (Amin, 2005).
2.6 Document review
The study reviewed project records in the UHSC data base,
these were used to verify information given by staff. They
were used as secondary data sources. The researcher also
reviewed different documents like text books, journals and
internet containing information about risk management and
performance of health supply chain projects. The purpose of
this method was to enable the researcher collect independent
verifiable data and information and also provide a
reasonable procedure to identify, analyze and decode full
information obtained from those documents
2.7 Data analysis
All questionnaires that were filled-in were crosschecked for
completeness and comprehensiveness by the researcher.
Incomplete information were filled in appropriately, and this
was done before leaving the field. All collected
questionnaires were numbered and questions coded in
preparation for entry into computer. STATA statistical
program was the main statistical program used for analysis
of the study data.
Descriptive statistics presentation, analysis and
interpretation
Descriptive statistics helped in describing the data
characteristics (Sekaran 2003). Descriptive data mainly
including data univariate in nature such as Age, sex, years of
work, level of management and others, it was presented in
form of graphs, pie charts, bar chart and frequency
distribution tables. It was later analyzed and interpreted
using percentages, frequencies, means, and standard
deviations.
3. Results
3.1 Risks inherent in Uganda’s Health Supply Chain
projects
This section presents the Risks inherent in Uganda’s health
supply chain (HSC) projects. Respondents were asked to
indicate the extent to which Uganda’s health supply chain
projects were faced by a number of risks with a scale of Low
extent and great extent as indicated in the table 1 below.
Table 1: Risks inherent in Uganda’s Health Supply Chain projects
Questionnaire indicators Responses
Great extent Low extent
N % N % Mean
1. Environmental related risks
 accidents
 bad weather
 political instability
6 3.82 151 96.18 0.038
2. Demand and supply risks resulting from supplier unpredictability
 stock outs
155 98.73 2 1.27 0.987
3. Procurement related risks
 Long lead-times
 Inadequate technical input
155 98.73 2 1.27 0.987
4. Distribution and storage related risks
 Insufficient storage stores
 Insufficient transportation means
 Poor security
 Inadequate communication
155 98.73 2 1.27 0.987
5. End user related risks
 poor quality commodities
 poor feedback mechanisms
 loss of patient lives
157 100 0 0 1
6. Financial related risks
 cost overruns
157 100 0 0 1
Source: Primary source; N: Frequency
Findings showed that the major risks faced by HSCs in
Uganda were; End user related risks i.e. poor quality
commodities, poor feedback mechanisms, loss of patient
lives etc., 100% (157) and Financial related risks i.e. cost
overruns 100% (157) both with Mean = 1, all the
respondents affirmed that these were the major risks
affecting HSCs in Uganda. This high trend of end user and
financial related risks can be explained by the absence of
formal risk management systems for management of end
user and financial related risks. Therefore this calls for a
need to adopt good risk management practices within
Uganda’s health supply chain system.
Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 10
International Journal of Science and Research (IJSR)
ISSN: 2319-7064
ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426
Volume 9 Issue 3, March 2020
www.ijsr.net
Licensed Under Creative Commons Attribution CC BY
This was followed by Demand and supply risks resulting
from supplier unpredictability i.e. stock outs 98.73% (155)
with Mean = 0.987, Procurement related risks i.e. long lead-
times, inadequate technical input 98.73% (155) with Mean
= 0.987, Distribution and storage related risks i.e.
insufficient storage store, insufficient transportation means,
poor security, inadequate communication 98.73% (155),
Mean = 0.987 . This high trend can still be explained by
inadequacy of available risk management systems to manage
demand and supply risks, procurement related risks and
distribution and storage related risks and hence the need to
adopt good risk management practices within Uganda’s
health supply chain system.
The least faced risk was the Environmental related risks i.e.
accidents, bad weather and political instability 3.82% (6),
with Mean = 0.038
4. Conclusion
In conclusion, the study revealed that the greatest risks faced
by Health supply chain programs in Uganda were financial
related risks i.e. cost overruns, insufficient finances;
followed by end user related risks such as poor quality
commodities and poor feedback mechanisms, then followed
by demand and supply risks resulting from supplier
unpredictability such as stock outs; Procurement related
risks; Distribution and storage related risks. Environmental
related risks such as accidents, bad weather and political
instability were the least faced risks. The study found out
that these troubled the functionality of Uganda’s Health
supply chain system.
Therefore, this study offereda detailed understanding the
risks affecting HSC projects in Uganda which consequently
can improve the process of risk management for improved
functionality of Uganda’s Health supply chain system
5. Recommendation
The study recommended that with a clear understanding of
risks affecting HSCs in Ugandanow after being uncovered
by the study:
 Carefully tailored standard risk management practices
i.e.risk planning practices, risk identification practices,
risk analysis practices, and risk response and control can
be established at each level of the supply chain i.e.
production or manufacture, sourcing, planning and
selection, forecasting and quantification, procurement,
distribution, storage up to consumption.
 There is need to establish capacity building systems for
risk management and sensitization systems for HSC risks
for all staff in HSC projects
 The a need to establish follow-up mechanisms for HSC
risk management
 There is a need to fully adopt the risk management process
to control risks in Uganda’s Health supply chain system.
References
[1] Ali, K., Alolayyan, M., &Idris, F. (2012, March). The
impact of total quality management (TQM) on hospital
performance in the Jordanian hospitals: an empirical
evidence (medical leader's perspectives). In Global
conference on operations and supply chain management
(GCOM2012) proceedings (pp. 12-13).
[2] Amin, M. (2005). Social Science Research: Conception
methodology and Analysis. Kampala, Uganda:
Makerere University Printery.
[3] Besner, C., & Hobbs, B. (2012). The paradox of risk
management; a project management practice
perspective. International journal of managing projects
in business, 5(2), 230-247.
[4] Larson, E. W., & Gray, C. F. (2015). A Guide to the
Project Management Body of Knowledge: PMBOK (®)
Guide. Project Management Institute.
[5] Lockamy III, A., & McCormack, K. (2004). The
development of a supply chain management process
maturity model using the concepts of business process
orientation. Supply Chain Management: An
International Journal, 9(4), 272-278.
[6] Markmann, C., Darkow, I. L., & von der Gracht, H.
(2013). A Delphi-based risk analysis—Identifying and
assessing future challenges for supply chain security in
a multi-stakeholder environment. Technological
Forecasting and Social Change, 80(9), 1815-1833.
[7] Mugenda, O. M., & Mugenda, A. G.(2003). Research
methods.
[8] Muriithi, N., & Crawford, L. (2003). Approaches to
project management in Africa: implications for
international development projects. International journal
of project management, 21(5), 309-319.
[9] Musa, S. N. (2012). Supply chain risk management:
identification, evaluation and mitigation techniques
(Doctoral dissertation, Linköping University Electronic
Press).
[10]Musonda, M. M., Mwanaumo, E. M., &Thwala, D. W.
(2018). Risk Management in the Supply Chain of
Essential Medicines. In Proceedings of the 21st
International Symposium on Advancement of
Construction Management and Real Estate (pp. 1275-
1287). Springer, Singapore.
[11]Sekaran, U. (2003) Research Methods for Business: A
Skill-Building Approach. 4th Edition, John Wiley &
Sons, New York.
[12]World Health Organization. (2015). The Selection and
Use of Essential Medicines: Report of the WHO Expert
Committee, 2015 (including the 19th WHO Model List
of Essential Medicines and the 5th WHO Model List of
Essential Medicines for Children) (No. 994). World
Health Organization.
Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 11

More Related Content

What's hot

2014 review of data quality assessment methods
2014 review of data quality assessment methods2014 review of data quality assessment methods
2014 review of data quality assessment methodsRoger Zapata
 
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...Health IT Conference – iHT2
 
Mapping the Metrics of Radiology Technology Diffusion: A Case for Swaziland
Mapping the Metrics of Radiology Technology Diffusion: A Case for SwazilandMapping the Metrics of Radiology Technology Diffusion: A Case for Swaziland
Mapping the Metrics of Radiology Technology Diffusion: A Case for SwazilandDr. Amarjeet Singh
 
Medical Reform - Hong Kong
Medical Reform - Hong KongMedical Reform - Hong Kong
Medical Reform - Hong Kongrexchen007
 
Reshaping Hong Kong's Healthcare
Reshaping Hong Kong's HealthcareReshaping Hong Kong's Healthcare
Reshaping Hong Kong's HealthcareVictoria Tseng
 
Assessing the performance of an integrated disease surveillance and response ...
Assessing the performance of an integrated disease surveillance and response ...Assessing the performance of an integrated disease surveillance and response ...
Assessing the performance of an integrated disease surveillance and response ...MEASURE Evaluation
 
IRJET - E-Health Chain and Anticipation of Future Disease
IRJET - E-Health Chain and Anticipation of Future DiseaseIRJET - E-Health Chain and Anticipation of Future Disease
IRJET - E-Health Chain and Anticipation of Future DiseaseIRJET Journal
 
Moving Toward Improved Measurement of Malaria Mortality at the Population Level
Moving Toward Improved Measurement of Malaria Mortality at the Population LevelMoving Toward Improved Measurement of Malaria Mortality at the Population Level
Moving Toward Improved Measurement of Malaria Mortality at the Population LevelMEASURE Evaluation
 
Introduction to-surveillance د حاتم البيطار
Introduction to-surveillance د حاتم البيطارIntroduction to-surveillance د حاتم البيطار
Introduction to-surveillance د حاتم البيطارد حاتم البيطار
 
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEM
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEMAN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEM
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEMijaia
 
Health Care Quality: The impact of hospital quality system in private and pub...
Health Care Quality: The impact of hospital quality system in private and pub...Health Care Quality: The impact of hospital quality system in private and pub...
Health Care Quality: The impact of hospital quality system in private and pub...AI Publications
 
Ai in diabetes management
Ai in diabetes managementAi in diabetes management
Ai in diabetes managementGOPAL KHODVE
 
A web/mobile decision support system to improve medical diagnosis using a com...
A web/mobile decision support system to improve medical diagnosis using a com...A web/mobile decision support system to improve medical diagnosis using a com...
A web/mobile decision support system to improve medical diagnosis using a com...TELKOMNIKA JOURNAL
 
Applications of statistics in medical Research and Healthr
Applications of statistics in medical Research and HealthrApplications of statistics in medical Research and Healthr
Applications of statistics in medical Research and HealthrMuhammadNafees42
 
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011nyayahealth
 
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...IJCSEA Journal
 

What's hot (20)

2014 review of data quality assessment methods
2014 review of data quality assessment methods2014 review of data quality assessment methods
2014 review of data quality assessment methods
 
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
 
Mapping the Metrics of Radiology Technology Diffusion: A Case for Swaziland
Mapping the Metrics of Radiology Technology Diffusion: A Case for SwazilandMapping the Metrics of Radiology Technology Diffusion: A Case for Swaziland
Mapping the Metrics of Radiology Technology Diffusion: A Case for Swaziland
 
Medical Reform - Hong Kong
Medical Reform - Hong KongMedical Reform - Hong Kong
Medical Reform - Hong Kong
 
Reshaping Hong Kong's Healthcare
Reshaping Hong Kong's HealthcareReshaping Hong Kong's Healthcare
Reshaping Hong Kong's Healthcare
 
Assessing the performance of an integrated disease surveillance and response ...
Assessing the performance of an integrated disease surveillance and response ...Assessing the performance of an integrated disease surveillance and response ...
Assessing the performance of an integrated disease surveillance and response ...
 
IRJET - E-Health Chain and Anticipation of Future Disease
IRJET - E-Health Chain and Anticipation of Future DiseaseIRJET - E-Health Chain and Anticipation of Future Disease
IRJET - E-Health Chain and Anticipation of Future Disease
 
Moving Toward Improved Measurement of Malaria Mortality at the Population Level
Moving Toward Improved Measurement of Malaria Mortality at the Population LevelMoving Toward Improved Measurement of Malaria Mortality at the Population Level
Moving Toward Improved Measurement of Malaria Mortality at the Population Level
 
Introduction to-surveillance د حاتم البيطار
Introduction to-surveillance د حاتم البيطارIntroduction to-surveillance د حاتم البيطار
Introduction to-surveillance د حاتم البيطار
 
journal.pone.0068666.PDF
journal.pone.0068666.PDFjournal.pone.0068666.PDF
journal.pone.0068666.PDF
 
PROSPECTIVE STUDY WITH OUTCOME ON GESTATIONAL DIABETES MELLITUS
PROSPECTIVE STUDY WITH OUTCOME ON GESTATIONAL DIABETES MELLITUSPROSPECTIVE STUDY WITH OUTCOME ON GESTATIONAL DIABETES MELLITUS
PROSPECTIVE STUDY WITH OUTCOME ON GESTATIONAL DIABETES MELLITUS
 
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEM
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEMAN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEM
AN IMPROVED MODEL FOR CLINICAL DECISION SUPPORT SYSTEM
 
Health Care Quality: The impact of hospital quality system in private and pub...
Health Care Quality: The impact of hospital quality system in private and pub...Health Care Quality: The impact of hospital quality system in private and pub...
Health Care Quality: The impact of hospital quality system in private and pub...
 
Ai in diabetes management
Ai in diabetes managementAi in diabetes management
Ai in diabetes management
 
A web/mobile decision support system to improve medical diagnosis using a com...
A web/mobile decision support system to improve medical diagnosis using a com...A web/mobile decision support system to improve medical diagnosis using a com...
A web/mobile decision support system to improve medical diagnosis using a com...
 
Applications of statistics in medical Research and Healthr
Applications of statistics in medical Research and HealthrApplications of statistics in medical Research and Healthr
Applications of statistics in medical Research and Healthr
 
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011
Harvard Internal Medicine-Pediatrics Noon Conference Feb 3, 2011
 
CPT.BigHealthcareData.2016
CPT.BigHealthcareData.2016CPT.BigHealthcareData.2016
CPT.BigHealthcareData.2016
 
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...
Towards EHR Interoperability in Tanzania Hospitals : Issues, Challenges and O...
 
Global precision medicine market (2018-2023)
Global precision medicine market (2018-2023)Global precision medicine market (2018-2023)
Global precision medicine market (2018-2023)
 

Similar to Assessment of Health Supply Chain Risks in Uganda. The Case of Uganda Health Supply Chain Project

The effect of implementing risk management strategies on supply chain perform...
The effect of implementing risk management strategies on supply chain perform...The effect of implementing risk management strategies on supply chain perform...
The effect of implementing risk management strategies on supply chain perform...Alexander Decker
 
A Review on Clinical Decision Support System
A Review on Clinical Decision Support SystemA Review on Clinical Decision Support System
A Review on Clinical Decision Support SystemIRJET Journal
 
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...An IT Approach to Improve the Compilation of Clinical Access Indicators and D...
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...Editor IJCATR
 
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET Journal
 
NURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxNURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxstirlingvwriters
 
Machine learning and operations research to find diabetics at risk for readmi...
Machine learning and operations research to find diabetics at risk for readmi...Machine learning and operations research to find diabetics at risk for readmi...
Machine learning and operations research to find diabetics at risk for readmi...John Frias Morales, DrBA, MS
 
Machine learning in drug supply chain management during disease outbreaks: a ...
Machine learning in drug supply chain management during disease outbreaks: a ...Machine learning in drug supply chain management during disease outbreaks: a ...
Machine learning in drug supply chain management during disease outbreaks: a ...IJECEIAES
 
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...ijtsrd
 
The influence of clients’ perceived quality on health care utilization
The influence of clients’ perceived quality on health care utilizationThe influence of clients’ perceived quality on health care utilization
The influence of clients’ perceived quality on health care utilizationAppiah Seth Christopher Yaw
 
Introduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfIntroduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfbkbk37
 
Review on hypertension diagnosis using expert system and wearable devices
Review on hypertension diagnosis using expert system and  wearable devicesReview on hypertension diagnosis using expert system and  wearable devices
Review on hypertension diagnosis using expert system and wearable devicesIJECEIAES
 
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETS
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETSENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETS
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETSijseajournal
 
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...Analysis of Factors Affecting the Success of Safety Management Programs of Fo...
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...AJHSSR Journal
 
Available online at www.ijmrhs.com Internation.docx
Available online at www.ijmrhs.com Internation.docxAvailable online at www.ijmrhs.com Internation.docx
Available online at www.ijmrhs.com Internation.docxjasoninnes20
 
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEWAN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEWhiij
 
(03) Occupational Exposure to Blood and Body Fluids.pdf
(03) Occupational Exposure to Blood and Body Fluids.pdf(03) Occupational Exposure to Blood and Body Fluids.pdf
(03) Occupational Exposure to Blood and Body Fluids.pdfHLeyva1
 

Similar to Assessment of Health Supply Chain Risks in Uganda. The Case of Uganda Health Supply Chain Project (20)

The effect of implementing risk management strategies on supply chain perform...
The effect of implementing risk management strategies on supply chain perform...The effect of implementing risk management strategies on supply chain perform...
The effect of implementing risk management strategies on supply chain perform...
 
Dr. Obumneke Amadi-Onuoha Scripts-26
Dr. Obumneke Amadi-Onuoha Scripts-26Dr. Obumneke Amadi-Onuoha Scripts-26
Dr. Obumneke Amadi-Onuoha Scripts-26
 
A Review on Clinical Decision Support System
A Review on Clinical Decision Support SystemA Review on Clinical Decision Support System
A Review on Clinical Decision Support System
 
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...An IT Approach to Improve the Compilation of Clinical Access Indicators and D...
An IT Approach to Improve the Compilation of Clinical Access Indicators and D...
 
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...
 
Research journal
Research journalResearch journal
Research journal
 
journals in research
journals in researchjournals in research
journals in research
 
NURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxNURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docx
 
Machine learning and operations research to find diabetics at risk for readmi...
Machine learning and operations research to find diabetics at risk for readmi...Machine learning and operations research to find diabetics at risk for readmi...
Machine learning and operations research to find diabetics at risk for readmi...
 
my publication
my publicationmy publication
my publication
 
Machine learning in drug supply chain management during disease outbreaks: a ...
Machine learning in drug supply chain management during disease outbreaks: a ...Machine learning in drug supply chain management during disease outbreaks: a ...
Machine learning in drug supply chain management during disease outbreaks: a ...
 
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...
Effectiveness of Demonstration on Practices Regarding Hand Hygiene among Moth...
 
The influence of clients’ perceived quality on health care utilization
The influence of clients’ perceived quality on health care utilizationThe influence of clients’ perceived quality on health care utilization
The influence of clients’ perceived quality on health care utilization
 
Introduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfIntroduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdf
 
Review on hypertension diagnosis using expert system and wearable devices
Review on hypertension diagnosis using expert system and  wearable devicesReview on hypertension diagnosis using expert system and  wearable devices
Review on hypertension diagnosis using expert system and wearable devices
 
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETS
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETSENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETS
ENHANCING THE MONITORING SYSTEM OF SFDA IN SAUDI MARKETS
 
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...Analysis of Factors Affecting the Success of Safety Management Programs of Fo...
Analysis of Factors Affecting the Success of Safety Management Programs of Fo...
 
Available online at www.ijmrhs.com Internation.docx
Available online at www.ijmrhs.com Internation.docxAvailable online at www.ijmrhs.com Internation.docx
Available online at www.ijmrhs.com Internation.docx
 
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEWAN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
 
(03) Occupational Exposure to Blood and Body Fluids.pdf
(03) Occupational Exposure to Blood and Body Fluids.pdf(03) Occupational Exposure to Blood and Body Fluids.pdf
(03) Occupational Exposure to Blood and Body Fluids.pdf
 

Recently uploaded

Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetThrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real Meet
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real MeetVip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real Meet
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real MeetAhmedabad Call Girls
 
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetjabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Sheetaleventcompany
 
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetnagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetJalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...russian goa call girl and escorts service
 
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthanindiancallgirl4rent
 
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetkochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetErnakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh
 
Krishnagiri call girls Tamil Actress sex service 7877702510
Krishnagiri call girls Tamil Actress sex service 7877702510Krishnagiri call girls Tamil Actress sex service 7877702510
Krishnagiri call girls Tamil Actress sex service 7877702510Vipesco
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Memriyagarg453
 
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...mahaiklolahd
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...Ahmedabad Call Girls
 
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in AnantapurCall Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapurgragmanisha42
 
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun  UttrakhandDehradun Call Girls 8854095900 Call Girl in Dehradun  Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhandindiancallgirl4rent
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.ktanvi103
 
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 

Recently uploaded (20)

Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetThrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Thrissur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real Meet
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real MeetVip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real Meet
Vip Call Girls Makarba 👙 6367187148 👙 Genuine WhatsApp Number for Real Meet
 
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetjabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
jabalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024
 
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mathura Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetnagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetJalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
 
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
 
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetkochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetErnakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Krishnagiri call girls Tamil Actress sex service 7877702510
Krishnagiri call girls Tamil Actress sex service 7877702510Krishnagiri call girls Tamil Actress sex service 7877702510
Krishnagiri call girls Tamil Actress sex service 7877702510
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
 
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...
Call Girl in Bangalore 9632137771 {LowPrice} ❤️ (Navya) Bangalore Call Girls ...
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
 
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in AnantapurCall Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur 📲 6297143586 Book Now VIP Call Girls in Anantapur
 
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun  UttrakhandDehradun Call Girls 8854095900 Call Girl in Dehradun  Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhand
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
 
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 

Assessment of Health Supply Chain Risks in Uganda. The Case of Uganda Health Supply Chain Project

  • 1. International Journal of Science and Research (IJSR) ISSN: 2319-7064 ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426 Volume 9 Issue 3, March 2020 www.ijsr.net Licensed Under Creative Commons Attribution CC BY Assessment of Health Supply Chain Risks in Uganda: The Case of Uganda Health Supply Chain Project John Hans Wasswa1 , Angella Namulindwa2 1, 2 Uganda Management Institute (UMI) Uganda Health Supply Chain program, Management Sciences for Health (MSH) Abstract: This study aimed at assessing risks affecting Health supply chains in Uganda using a case of Uganda Health Supply Chain project. The theoretical framework onto which this study was anchored was the normative decision theory of risk management. A cross- sectional study design was adopted employingthe quantitative research approach. Asample population of 196 was used and primary data was collected using self-administered questionnaires and analyzed using STATA statistical program. Descriptive data was presented in form of graphs and frequency distribution tables. It was later analyzed and interpreted using percentages, frequencies, means, and standard deviations. The study results revealed that the greatest health supply chain risks faced by health supply chain programs in Uganda were; Financial-related risks such as cost overruns; and End user-related risks such as poor quality health commodities, poor feedback mechanisms and loss of patient lives. Other major risks discovered by the study included demand and supply-relatedrisks resulting from supplier unpredictability such as stock outs; Procurement-related risks such as long lead-times and inadequate technical input; and distribution and Storage-related risks. Environmental-related risks such as accidents, bad weather and political instability were the least faced risks. The study concluded that health supply chains in Uganda are troubled by a multitude of risks, and therefore the study recommended that,after a clear understanding of risks affecting health supply chains has been uncovered, carefully-tailored standard risk management processes can be establishedwithin health supply chain projects to improve the functionality of Uganda’s health supply chain management systems. Keywords: Health supply chain risks, Health supply chain projects, Risk management, Health supply chain management system 1. Introduction Without a functional health supply chain management system, a country’s health system is confronted with extensive problems of patient dissatisfaction, increasing cost of health services due to cost overruns, high levels of stock- outs of medical supplies, poor quality healthcare commodities in health facilities and poor quantification mechanisms for needed medical commodities, among others (Ali et al., 2012) Health supply chain risks are a major disruption of the functionality of any health supply chain management system. These disruptions can be managed by instituting standard risk management processes, but, however, inadequate assessment and lack of knowledge of the risks affecting Health supply chain projects in Africa has greatly affected any plans to establish these standard risk management processes (Besner et al., 2012) According to Larson (2015) a health supply chain risk is any uncertain condition or event, that if it occurred, it has negative or positive effects on the health supply chainproject objectives. He further defines risk management as the process of identification, analysis, planning, conducting risk response and control in a project, with the ultimate aim of reducing the probability of impact of negative events and increasing the probability of impact of positive events. This study therefore made a detailed assessment of risks affecting health supply chain projects in Uganda, with an overall aim of increasing the understanding of health supply chain risks troubling the Uganda Health supply chain system in order to aid the establishment of standard risk management processes in all health supply chain programs in Uganda 2. Methods 2.1 Study setting Uganda Health Supply Chain program (UHSC) is one of the many Health supply chain programs supporting the Ministry of Health (MOH) in Uganda. Its main role is to support the Ugandan government through the MOH to enhance Uganda’s supply chain system through improving accessibility, availability, affordability, and appropriate use of good quality EMHS to Uganda’s population. UHSC supports Uganda’s supply chain and logistics in 129 districts. Its main administration is situated in Bugolobi, Nakawa Division, Kampala. 2.2 Study design A cross sectional study design was adopted for this study employing the quantitative method. (Amin, 2005) 2.3 Study population The composition of the study population was 284 UHSC project staff (officers and Medicine management supervisors) and 100 end users i.e. patients in health facilities in districts supported by UHSC, totaling to 384 Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 9
  • 2. International Journal of Science and Research (IJSR) ISSN: 2319-7064 ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426 Volume 9 Issue 3, March 2020 www.ijsr.net Licensed Under Creative Commons Attribution CC BY 2.4 Sample size The sample size of UHSC staff and end users that participated in this study was determined using the Yamane (1967) formula and was 196 2.5 Data collection methods Questionnaire survey The study employed a questionnaire survey method using a semi structured and pretested questionnaire to collect data that is quantitative in nature (Amin, 2005). 2.6 Document review The study reviewed project records in the UHSC data base, these were used to verify information given by staff. They were used as secondary data sources. The researcher also reviewed different documents like text books, journals and internet containing information about risk management and performance of health supply chain projects. The purpose of this method was to enable the researcher collect independent verifiable data and information and also provide a reasonable procedure to identify, analyze and decode full information obtained from those documents 2.7 Data analysis All questionnaires that were filled-in were crosschecked for completeness and comprehensiveness by the researcher. Incomplete information were filled in appropriately, and this was done before leaving the field. All collected questionnaires were numbered and questions coded in preparation for entry into computer. STATA statistical program was the main statistical program used for analysis of the study data. Descriptive statistics presentation, analysis and interpretation Descriptive statistics helped in describing the data characteristics (Sekaran 2003). Descriptive data mainly including data univariate in nature such as Age, sex, years of work, level of management and others, it was presented in form of graphs, pie charts, bar chart and frequency distribution tables. It was later analyzed and interpreted using percentages, frequencies, means, and standard deviations. 3. Results 3.1 Risks inherent in Uganda’s Health Supply Chain projects This section presents the Risks inherent in Uganda’s health supply chain (HSC) projects. Respondents were asked to indicate the extent to which Uganda’s health supply chain projects were faced by a number of risks with a scale of Low extent and great extent as indicated in the table 1 below. Table 1: Risks inherent in Uganda’s Health Supply Chain projects Questionnaire indicators Responses Great extent Low extent N % N % Mean 1. Environmental related risks  accidents  bad weather  political instability 6 3.82 151 96.18 0.038 2. Demand and supply risks resulting from supplier unpredictability  stock outs 155 98.73 2 1.27 0.987 3. Procurement related risks  Long lead-times  Inadequate technical input 155 98.73 2 1.27 0.987 4. Distribution and storage related risks  Insufficient storage stores  Insufficient transportation means  Poor security  Inadequate communication 155 98.73 2 1.27 0.987 5. End user related risks  poor quality commodities  poor feedback mechanisms  loss of patient lives 157 100 0 0 1 6. Financial related risks  cost overruns 157 100 0 0 1 Source: Primary source; N: Frequency Findings showed that the major risks faced by HSCs in Uganda were; End user related risks i.e. poor quality commodities, poor feedback mechanisms, loss of patient lives etc., 100% (157) and Financial related risks i.e. cost overruns 100% (157) both with Mean = 1, all the respondents affirmed that these were the major risks affecting HSCs in Uganda. This high trend of end user and financial related risks can be explained by the absence of formal risk management systems for management of end user and financial related risks. Therefore this calls for a need to adopt good risk management practices within Uganda’s health supply chain system. Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 10
  • 3. International Journal of Science and Research (IJSR) ISSN: 2319-7064 ResearchGate Impact Factor (2018): 0.28 | SJIF (2018): 7.426 Volume 9 Issue 3, March 2020 www.ijsr.net Licensed Under Creative Commons Attribution CC BY This was followed by Demand and supply risks resulting from supplier unpredictability i.e. stock outs 98.73% (155) with Mean = 0.987, Procurement related risks i.e. long lead- times, inadequate technical input 98.73% (155) with Mean = 0.987, Distribution and storage related risks i.e. insufficient storage store, insufficient transportation means, poor security, inadequate communication 98.73% (155), Mean = 0.987 . This high trend can still be explained by inadequacy of available risk management systems to manage demand and supply risks, procurement related risks and distribution and storage related risks and hence the need to adopt good risk management practices within Uganda’s health supply chain system. The least faced risk was the Environmental related risks i.e. accidents, bad weather and political instability 3.82% (6), with Mean = 0.038 4. Conclusion In conclusion, the study revealed that the greatest risks faced by Health supply chain programs in Uganda were financial related risks i.e. cost overruns, insufficient finances; followed by end user related risks such as poor quality commodities and poor feedback mechanisms, then followed by demand and supply risks resulting from supplier unpredictability such as stock outs; Procurement related risks; Distribution and storage related risks. Environmental related risks such as accidents, bad weather and political instability were the least faced risks. The study found out that these troubled the functionality of Uganda’s Health supply chain system. Therefore, this study offereda detailed understanding the risks affecting HSC projects in Uganda which consequently can improve the process of risk management for improved functionality of Uganda’s Health supply chain system 5. Recommendation The study recommended that with a clear understanding of risks affecting HSCs in Ugandanow after being uncovered by the study:  Carefully tailored standard risk management practices i.e.risk planning practices, risk identification practices, risk analysis practices, and risk response and control can be established at each level of the supply chain i.e. production or manufacture, sourcing, planning and selection, forecasting and quantification, procurement, distribution, storage up to consumption.  There is need to establish capacity building systems for risk management and sensitization systems for HSC risks for all staff in HSC projects  The a need to establish follow-up mechanisms for HSC risk management  There is a need to fully adopt the risk management process to control risks in Uganda’s Health supply chain system. References [1] Ali, K., Alolayyan, M., &Idris, F. (2012, March). The impact of total quality management (TQM) on hospital performance in the Jordanian hospitals: an empirical evidence (medical leader's perspectives). In Global conference on operations and supply chain management (GCOM2012) proceedings (pp. 12-13). [2] Amin, M. (2005). Social Science Research: Conception methodology and Analysis. Kampala, Uganda: Makerere University Printery. [3] Besner, C., & Hobbs, B. (2012). The paradox of risk management; a project management practice perspective. International journal of managing projects in business, 5(2), 230-247. [4] Larson, E. W., & Gray, C. F. (2015). A Guide to the Project Management Body of Knowledge: PMBOK (®) Guide. Project Management Institute. [5] Lockamy III, A., & McCormack, K. (2004). The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal, 9(4), 272-278. [6] Markmann, C., Darkow, I. L., & von der Gracht, H. (2013). A Delphi-based risk analysis—Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment. Technological Forecasting and Social Change, 80(9), 1815-1833. [7] Mugenda, O. M., & Mugenda, A. G.(2003). Research methods. [8] Muriithi, N., & Crawford, L. (2003). Approaches to project management in Africa: implications for international development projects. International journal of project management, 21(5), 309-319. [9] Musa, S. N. (2012). Supply chain risk management: identification, evaluation and mitigation techniques (Doctoral dissertation, Linköping University Electronic Press). [10]Musonda, M. M., Mwanaumo, E. M., &Thwala, D. W. (2018). Risk Management in the Supply Chain of Essential Medicines. In Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (pp. 1275- 1287). Springer, Singapore. [11]Sekaran, U. (2003) Research Methods for Business: A Skill-Building Approach. 4th Edition, John Wiley & Sons, New York. [12]World Health Organization. (2015). The Selection and Use of Essential Medicines: Report of the WHO Expert Committee, 2015 (including the 19th WHO Model List of Essential Medicines and the 5th WHO Model List of Essential Medicines for Children) (No. 994). World Health Organization. Paper ID: SR20227201353 DOI: 10.21275/SR20227201353 11