Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana

Richmond Bediako Nsiah; James Ankamah; Theresah Krah; Akua Kumi Yeboah; Dominic Nyarko; Jonathan Mawutor Gmanyami; Florence Owusuaa Peprah; Frank Prempeh; Charlotte Yeboah Domfeh; Isaac Ayirebi; Mark Bonnir; Isaac Morrison; Margaret Morrison; Patrick Larbi-Debrah; Geoffrey Akungoe Ayambire; Priscilla Sarkodie; Kenneth Baga Sabogu; Obed Atsu-Ofori; Kwame Kusi Agyemang; Daniel Ike Adinkrah

doi:doi:10.11648/j.ajhr.20241206.11

Research Article |

| Peer-Reviewed

Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana

Richmond Bediako Nsiah^*

, James Ankamah

, Theresah Krah

, Akua Kumi Yeboah

, Dominic Nyarko

, Jonathan Mawutor Gmanyami

, Florence Owusuaa Peprah

, Frank Prempeh

, Charlotte Yeboah Domfeh

, Isaac Ayirebi

, Mark Bonnir

, Isaac Morrison

, Margaret Morrison

, Patrick Larbi-Debrah

, Geoffrey Akungoe Ayambire

, Priscilla Sarkodie

, Kenneth Baga Sabogu

, Obed Atsu-Ofori

, Kwame Kusi Agyemang

, Daniel Ike Adinkrah

Published in American Journal of Health Research (Volume 12, Issue 6)

Received: 21 September 2024 Accepted: 11 October 2024 Published: 13 November 2024

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Abstract

Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.

Published in	American Journal of Health Research (Volume 12, Issue 6)
DOI	10.11648/j.ajhr.20241206.11
Page(s)	154-164
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Pareto Analysis, Outpatient Morbidity, Resource Optimization, Disease Prevalence, Health Promotion

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APA Style

Nsiah, R. B., Ankamah, J., Krah, T., Yeboah, A. K., Nyarko, D., et al. (2024). Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. American Journal of Health Research, 12(6), 154-164. https://doi.org/10.11648/j.ajhr.20241206.11

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ACS Style

Nsiah, R. B.; Ankamah, J.; Krah, T.; Yeboah, A. K.; Nyarko, D., et al. Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. Am. J. Health Res. 2024, 12(6), 154-164. doi: 10.11648/j.ajhr.20241206.11

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AMA Style

Nsiah RB, Ankamah J, Krah T, Yeboah AK, Nyarko D, et al. Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. Am J Health Res. 2024;12(6):154-164. doi: 10.11648/j.ajhr.20241206.11

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@article{10.11648/j.ajhr.20241206.11,
  author = {Richmond Bediako Nsiah and James Ankamah and Theresah Krah and Akua Kumi Yeboah and Dominic Nyarko and Jonathan Mawutor Gmanyami and Florence Owusuaa Peprah and Frank Prempeh and Charlotte Yeboah Domfeh and Isaac Ayirebi and Mark Bonnir and Isaac Morrison and Margaret Morrison and Patrick Larbi-Debrah and Geoffrey Akungoe Ayambire and Priscilla Sarkodie and Kenneth Baga Sabogu and Obed Atsu-Ofori and Kwame Kusi Agyemang and Daniel Ike Adinkrah},
  title = {Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana
},
  journal = {American Journal of Health Research},
  volume = {12},
  number = {6},
  pages = {154-164},
  doi = {10.11648/j.ajhr.20241206.11},
  url = {https://doi.org/10.11648/j.ajhr.20241206.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20241206.11},
  abstract = {Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.
},
 year = {2024}
}

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TY  - JOUR
T1  - Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana

AU  - Richmond Bediako Nsiah
AU  - James Ankamah
AU  - Theresah Krah
AU  - Akua Kumi Yeboah
AU  - Dominic Nyarko
AU  - Jonathan Mawutor Gmanyami
AU  - Florence Owusuaa Peprah
AU  - Frank Prempeh
AU  - Charlotte Yeboah Domfeh
AU  - Isaac Ayirebi
AU  - Mark Bonnir
AU  - Isaac Morrison
AU  - Margaret Morrison
AU  - Patrick Larbi-Debrah
AU  - Geoffrey Akungoe Ayambire
AU  - Priscilla Sarkodie
AU  - Kenneth Baga Sabogu
AU  - Obed Atsu-Ofori
AU  - Kwame Kusi Agyemang
AU  - Daniel Ike Adinkrah
Y1  - 2024/11/13
PY  - 2024
N1  - https://doi.org/10.11648/j.ajhr.20241206.11
DO  - 10.11648/j.ajhr.20241206.11
T2  - American Journal of Health Research
JF  - American Journal of Health Research
JO  - American Journal of Health Research
SP  - 154
EP  - 164
PB  - Science Publishing Group
SN  - 2330-8796
UR  - https://doi.org/10.11648/j.ajhr.20241206.11
AB  - Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.

VL  - 12
IS  - 6
ER  -

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Author Information

Richmond Bediako Nsiah

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0000-0002-5029-2529
James Ankamah

Clinical Department, Ghana Health Service, Goaso, Ghana

Contact Email

http://orcid.org/0000-0002-0637-8333
Theresah Krah

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0009-0001-3865-3176
Akua Kumi Yeboah

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0009-0001-5755-8174
Dominic Nyarko

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0009-0007-1924-4952
Jonathan Mawutor Gmanyami

Global Health and Infectious Diseases Research Group, Kumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana

Contact Email

http://orcid.org/0000-0002-3046-1508
Florence Owusuaa Peprah

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0009-0000-3188-2083
Frank Prempeh

Clinical Department, Komfo Anokye Teaching Hospital, Kumasi, Ghana

Contact Email

http://orcid.org/0009-0000-0076-4957
Charlotte Yeboah Domfeh

Midwifery Department, Seventh-day Adventist Nursing and Midwifery College, Asamang, Ghana

Contact Email

http://orcid.org/0009-0004-0183-2041
Isaac Ayirebi

Clinical Department, St. Pauline Clinic, Accra, Ghana

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http://orcid.org/0009-0000-3963-4105
Mark Bonnir

Community Health Nursing Training College, Wa, Ghana

Contact Email

http://orcid.org/0000-0001-8787-4664
Isaac Morrison

Quality Assurance Unit, National Health Insurance Authority, Accra, Ghana

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http://orcid.org/0009-0007-9175-8552
Margaret Morrison

Administrative Department, Ghana Health Service, Tema, Ghana

Contact Email

http://orcid.org/0009-0003-2595-3481
Patrick Larbi-Debrah

Centre for Vaccine Innovation and Access Policy, Access and Introduction Functional Area, PATH, Accra, Ghana

Contact Email

http://orcid.org/0009-0009-2387-6711
Geoffrey Akungoe Ayambire

Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Contact Email

http://orcid.org/0009-0005-5314-5216
Priscilla Sarkodie

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

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http://orcid.org/0009-0007-9503-4113
Kenneth Baga Sabogu

Technical Support Unit, Ghana AIDS Commission, Wa, Ghana

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http://orcid.org/0000-0002-8547-8315
Obed Atsu-Ofori

Department of Epidemiology and Biostatistics, University of Ghana, Accra, Ghana

Contact Email

http://orcid.org/0009-0005-4764-1256
Kwame Kusi Agyemang

Clinical Department, Ghana Health Service, Goaso, Ghana

Contact Email

http://orcid.org/0009-0003-9931-4375
Daniel Ike Adinkrah

Public Health Department, Ghana Health Service, Goaso-Wiawso-Kumasi, Ghana

Contact Email

http://orcid.org/0009-0005-8647-0955

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Nsiah, R. B., Ankamah, J., Krah, T., Yeboah, A. K., Nyarko, D., et al. (2024). Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. American Journal of Health Research, 12(6), 154-164. https://doi.org/10.11648/j.ajhr.20241206.11

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ACS Style

Nsiah, R. B.; Ankamah, J.; Krah, T.; Yeboah, A. K.; Nyarko, D., et al. Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. Am. J. Health Res. 2024, 12(6), 154-164. doi: 10.11648/j.ajhr.20241206.11

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AMA Style

Nsiah RB, Ankamah J, Krah T, Yeboah AK, Nyarko D, et al. Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana. Am J Health Res. 2024;12(6):154-164. doi: 10.11648/j.ajhr.20241206.11

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@article{10.11648/j.ajhr.20241206.11,
  author = {Richmond Bediako Nsiah and James Ankamah and Theresah Krah and Akua Kumi Yeboah and Dominic Nyarko and Jonathan Mawutor Gmanyami and Florence Owusuaa Peprah and Frank Prempeh and Charlotte Yeboah Domfeh and Isaac Ayirebi and Mark Bonnir and Isaac Morrison and Margaret Morrison and Patrick Larbi-Debrah and Geoffrey Akungoe Ayambire and Priscilla Sarkodie and Kenneth Baga Sabogu and Obed Atsu-Ofori and Kwame Kusi Agyemang and Daniel Ike Adinkrah},
  title = {Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana
},
  journal = {American Journal of Health Research},
  volume = {12},
  number = {6},
  pages = {154-164},
  doi = {10.11648/j.ajhr.20241206.11},
  url = {https://doi.org/10.11648/j.ajhr.20241206.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20241206.11},
  abstract = {Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.
},
 year = {2024}
}

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TY  - JOUR
T1  - Leveraging Pareto Analysis of Outpatient Morbidity for Strategic Drug Procurement and Health Promotion in Resource-Constrained Setting in Ghana

AU  - Richmond Bediako Nsiah
AU  - James Ankamah
AU  - Theresah Krah
AU  - Akua Kumi Yeboah
AU  - Dominic Nyarko
AU  - Jonathan Mawutor Gmanyami
AU  - Florence Owusuaa Peprah
AU  - Frank Prempeh
AU  - Charlotte Yeboah Domfeh
AU  - Isaac Ayirebi
AU  - Mark Bonnir
AU  - Isaac Morrison
AU  - Margaret Morrison
AU  - Patrick Larbi-Debrah
AU  - Geoffrey Akungoe Ayambire
AU  - Priscilla Sarkodie
AU  - Kenneth Baga Sabogu
AU  - Obed Atsu-Ofori
AU  - Kwame Kusi Agyemang
AU  - Daniel Ike Adinkrah
Y1  - 2024/11/13
PY  - 2024
N1  - https://doi.org/10.11648/j.ajhr.20241206.11
DO  - 10.11648/j.ajhr.20241206.11
T2  - American Journal of Health Research
JF  - American Journal of Health Research
JO  - American Journal of Health Research
SP  - 154
EP  - 164
PB  - Science Publishing Group
SN  - 2330-8796
UR  - https://doi.org/10.11648/j.ajhr.20241206.11
AB  - Background: Effective health management in resource-limited settings requires strategic resource allocation and intervention planning. Pareto analysis, based on the 80/20 rule, aids in identifying key health conditions impacting outpatient morbidity, guiding intervention prioritization and resource optimization. This study applied Pareto analysis on outpatient morbidity data from Goaso Government Hospital, Ghana, to identify common health conditions and improve drug procurement and health promotion strategies. The methodology also serves as a guide for applying Pareto chart analysis to enhance decision-making in healthcare delivery. Methods: A cross-sectional study was conducted analyzing outpatient department (OPD) data from January to December 2023. Data were extracted from the Ghana Health Service Monthly Outpatient Morbidity Reports via the District Health Information Management System 2 (DHIMS 2). Data analysis was conducted using SPSS version 20 to estimate the mean and standard deviation. Microsoft Excel 2016 was employed for Pareto analysis and the creation of column charts. Results: The analysis revealed that female patients had a higher average number of outpatient cases (M = 259, SD = 430.7) compared to male patients (M = 156, SD = 282.5). Key conditions contributing to 80% of the cases included Upper Respiratory Tract Infections (URTIs), Pneumonia, Malaria, Acute Urinary Tract Infections (UTIs), Diarrhoeal diseases, Typhoid Fever, Anaemia, Rheumatism/Arthritis, Skin Diseases, and Septicaemia. Notably, young adults (ages 20-34) and children (ages 1-4) were most affected. Conclusions: A strategic approach to drug procurement is essential due to high disease prevalence. Key actions include maintaining a three-month supply of ACTs for malaria, stocking essential antibiotics, and ensuring a two-month supply of ORS. Utilizing data-driven forecasting and establishing strong supplier partnerships are crucial for optimizing drug availability. Simultaneously, targeted health promotion efforts should focus on respiratory health, malaria prevention, UTIs, WASH practices, anaemia, rheumatism, and skin diseases through public education. Additionally, qualitative research, such as patient interviews and provider surveys, is recommended to understand high morbidity rates and evaluate existing interventions.

VL  - 12
IS  - 6
ER  -

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