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Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya

BACKGROUND: Delivery of quality healthcare is significantly based on the level of commitment among health facilities. This includes building a strong system with the continued availability of tracer commodities. Human resources, financing, health information provision, and technologies integrated in...

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Autores principales: Ayako, Japheth Araka, Karimi, Peter Ndirangu, Rutungwa, Eugene, Ngenzi, Joseph Lune, Nyongesa, Kelvin Wangira, Jillo, Racheal Habona, Kavere, Miheso Hassler, Shambaro, Abdul Galgalo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648676/
https://www.ncbi.nlm.nih.gov/pubmed/37968772
http://dx.doi.org/10.1186/s40545-023-00658-6
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author Ayako, Japheth Araka
Karimi, Peter Ndirangu
Rutungwa, Eugene
Ngenzi, Joseph Lune
Nyongesa, Kelvin Wangira
Jillo, Racheal Habona
Kavere, Miheso Hassler
Shambaro, Abdul Galgalo
author_facet Ayako, Japheth Araka
Karimi, Peter Ndirangu
Rutungwa, Eugene
Ngenzi, Joseph Lune
Nyongesa, Kelvin Wangira
Jillo, Racheal Habona
Kavere, Miheso Hassler
Shambaro, Abdul Galgalo
author_sort Ayako, Japheth Araka
collection PubMed
description BACKGROUND: Delivery of quality healthcare is significantly based on the level of commitment among health facilities. This includes building a strong system with the continued availability of tracer commodities. Human resources, financing, health information provision, and technologies integrated into the care environment have been vital in defining improved care. METHODS: This was a cross-sectional study conducted in health facilities in Tana River County. A census method was used where all 62 health facilities across different tiers of healthcare delivery were considered. Out of 62 facilities, 60 participated in the study. A structured questionnaire and a checklist were used to collect data. Data were analysed using both descriptive and inferential statistics at 0.05 level of significance. Statistical Package for Social Sciences version 26 was used for data analysis. RESULTS: Majority of the participants were nurses (71.7%), male (68.3%), and diploma holders (78.3%). The mean availability of the tracer commodities was 68.73%. The human resource-related factors influencing availability were personnel training on commodity management (β = 4.56, 95%CI 2.29–11.21, p = 0.012) and presence of pharmaceutical technicians dispensing commodities (β = 2.85, 95%CI 1.29–5.21, p = 0.005) Financial factors investigated revealed that those who were in county hospitals (β = 19.11, 95%CI 7.39–30.83, p = 0.002) and facilities which has disbursement of budgetary allocation on time (β = 12.08, 95%CI 3.11–23.57, p = 0.002) had higher availability of tracer commodities. CONCLUSION: There was moderate availability of tracer commodities which was influenced by training, personnel, level of the facility, and budget allocation on time.
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spelling pubmed-106486762023-11-15 Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya Ayako, Japheth Araka Karimi, Peter Ndirangu Rutungwa, Eugene Ngenzi, Joseph Lune Nyongesa, Kelvin Wangira Jillo, Racheal Habona Kavere, Miheso Hassler Shambaro, Abdul Galgalo J Pharm Policy Pract Research BACKGROUND: Delivery of quality healthcare is significantly based on the level of commitment among health facilities. This includes building a strong system with the continued availability of tracer commodities. Human resources, financing, health information provision, and technologies integrated into the care environment have been vital in defining improved care. METHODS: This was a cross-sectional study conducted in health facilities in Tana River County. A census method was used where all 62 health facilities across different tiers of healthcare delivery were considered. Out of 62 facilities, 60 participated in the study. A structured questionnaire and a checklist were used to collect data. Data were analysed using both descriptive and inferential statistics at 0.05 level of significance. Statistical Package for Social Sciences version 26 was used for data analysis. RESULTS: Majority of the participants were nurses (71.7%), male (68.3%), and diploma holders (78.3%). The mean availability of the tracer commodities was 68.73%. The human resource-related factors influencing availability were personnel training on commodity management (β = 4.56, 95%CI 2.29–11.21, p = 0.012) and presence of pharmaceutical technicians dispensing commodities (β = 2.85, 95%CI 1.29–5.21, p = 0.005) Financial factors investigated revealed that those who were in county hospitals (β = 19.11, 95%CI 7.39–30.83, p = 0.002) and facilities which has disbursement of budgetary allocation on time (β = 12.08, 95%CI 3.11–23.57, p = 0.002) had higher availability of tracer commodities. CONCLUSION: There was moderate availability of tracer commodities which was influenced by training, personnel, level of the facility, and budget allocation on time. BioMed Central 2023-11-15 /pmc/articles/PMC10648676/ /pubmed/37968772 http://dx.doi.org/10.1186/s40545-023-00658-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ayako, Japheth Araka
Karimi, Peter Ndirangu
Rutungwa, Eugene
Ngenzi, Joseph Lune
Nyongesa, Kelvin Wangira
Jillo, Racheal Habona
Kavere, Miheso Hassler
Shambaro, Abdul Galgalo
Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title_full Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title_fullStr Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title_full_unstemmed Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title_short Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya
title_sort factors affecting the availability of tracer health commodities in public facilities at tana river county, kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648676/
https://www.ncbi.nlm.nih.gov/pubmed/37968772
http://dx.doi.org/10.1186/s40545-023-00658-6
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