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Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya

Received: 17 January 2024     Accepted: 1 February 2024     Published: 28 April 2024
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Abstract

Globally, health management information systems (HMIS) in strengthening health systems have gained recognition due to potential of technology to improve access to quality care in underserved communities. In Kenya, the functionality of Community based- Health Management Information System (CBHMIS) currently stands at 55% down from 64% in year 2015. The aim of this paper was to determine the influence of behavioral factors of community units personnel on CBHMIS. As a nested study, with a broader aimt to establish the operational status of CBHMIS and its use in selected counties in Kenya; The main objective of this research was: To establish whether behavioural factors of Community Health Promoters (CHPs) influence CBHMIS use in Kenya. A mixed method design. was adopted, Kiambu, Kajiado and Nairobi counties formed the study location, a target population of 156 active community units was considered to arrive at a total sample of 122 community units and out of 7800CHPs a sample of 366 respondents was drawn. Multistage sampling was used to identify the CUs, and systematic random sampling to identify 366 respondents. Quantitative data tools were semi-structured closed ended questionnaires. Qualitative data tools included observation checklist, Focus Group Discussion and Key Informant Interviews guides. Quantitative data was analyzed using SPSS to generate univariate and bivariate analysis at p<0.05 significance level; Qualitative data was analyzed using content analysis based on key themes generated from the objectives. Results were presented in form of graphs, tables, figures, and narration. This study showed that the use of Community based- Health Management Information System stood at 56.6%. Behavioural factors were found to significantly influence use of Community based- Health Management Information System. Further, of the total variations in the use of Community based- Health Management Information System, behavioral factor explains 13.7% (R2 = .137). Results show that the model was valid (F(1, 363) = 58.579, P = .001) hence the explanatory variable (X2, Behavioral factors) is good in explaining total variations in Use of CbHMIS by community units. This implies that the use of CbHMIS by Community Units (CU) improves significantly when the community units have better behavioural factors. In conclusion, behavioural factors of CHPs have strong and significant influence on the CBHMIS use. Motivation of CHPs is key as a motivator to CBHMIS use, as well as. provision of material support including reporting tools and IEC materials and capacity development technical, computer and electronic reporting skills to enhamce CHP operations and processes.

Published in World Journal of Public Health (Volume 9, Issue 2)
DOI 10.11648/j.wjph.20240902.11
Page(s) 95-110
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

Health System Strengthening, Health Management Information Systems (HMIS), Behavioural Factors, Community Health Promoters, Community Based Health Management Information Systems

References
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Cite This Article
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    Mambo, S. N., Odhiambo-Otieno, G., Ochieng’-Otieno, G., Mwaura-Tenambergen, W. (2024). Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya. World Journal of Public Health, 9(2), 95-110. https://doi.org/10.11648/j.wjph.20240902.11

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    Mambo, S. N.; Odhiambo-Otieno, G.; Ochieng’-Otieno, G.; Mwaura-Tenambergen, W. Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya. World J. Public Health 2024, 9(2), 95-110. doi: 10.11648/j.wjph.20240902.11

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    AMA Style

    Mambo SN, Odhiambo-Otieno G, Ochieng’-Otieno G, Mwaura-Tenambergen W. Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya. World J Public Health. 2024;9(2):95-110. doi: 10.11648/j.wjph.20240902.11

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  • @article{10.11648/j.wjph.20240902.11,
      author = {Susan Njoki Mambo and George Odhiambo-Otieno and George Ochieng’-Otieno and Wanja Mwaura-Tenambergen},
      title = {Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya
    },
      journal = {World Journal of Public Health},
      volume = {9},
      number = {2},
      pages = {95-110},
      doi = {10.11648/j.wjph.20240902.11},
      url = {https://doi.org/10.11648/j.wjph.20240902.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20240902.11},
      abstract = {Globally, health management information systems (HMIS) in strengthening health systems have gained recognition due to potential of technology to improve access to quality care in underserved communities. In Kenya, the functionality of Community based- Health Management Information System (CBHMIS) currently stands at 55% down from 64% in year 2015. The aim of this paper was to determine the influence of behavioral factors of community units personnel on CBHMIS. As a nested study, with a broader aimt to establish the operational status of CBHMIS and its use in selected counties in Kenya; The main objective of this research was: To establish whether behavioural factors of Community Health Promoters (CHPs) influence CBHMIS use in Kenya. A mixed method design. was adopted, Kiambu, Kajiado and Nairobi counties formed the study location, a target population of 156 active community units was considered to arrive at a total sample of 122 community units and out of 7800CHPs a sample of 366 respondents was drawn. Multistage sampling was used to identify the CUs, and systematic random sampling to identify 366 respondents. Quantitative data tools were semi-structured closed ended questionnaires. Qualitative data tools included observation checklist, Focus Group Discussion and Key Informant Interviews guides. Quantitative data was analyzed using SPSS to generate univariate and bivariate analysis at p2 = .137). Results show that the model was valid (F(1, 363) = 58.579, P = .001) hence the explanatory variable (X2, Behavioral factors) is good in explaining total variations in Use of CbHMIS by community units. This implies that the use of CbHMIS by Community Units (CU) improves significantly when the community units have better behavioural factors. In conclusion, behavioural factors of CHPs have strong and significant influence on the CBHMIS use. Motivation of CHPs is key as a motivator to CBHMIS use, as well as. provision of material support including reporting tools and IEC materials and capacity development technical, computer and electronic reporting skills to enhamce CHP operations and processes.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Assessing the Influence of Behavioural Factors of Community Health Promoters on Use of Community Based Health Information Systems in Selected Counties, Kenya
    
    AU  - Susan Njoki Mambo
    AU  - George Odhiambo-Otieno
    AU  - George Ochieng’-Otieno
    AU  - Wanja Mwaura-Tenambergen
    Y1  - 2024/04/28
    PY  - 2024
    N1  - https://doi.org/10.11648/j.wjph.20240902.11
    DO  - 10.11648/j.wjph.20240902.11
    T2  - World Journal of Public Health
    JF  - World Journal of Public Health
    JO  - World Journal of Public Health
    SP  - 95
    EP  - 110
    PB  - Science Publishing Group
    SN  - 2637-6059
    UR  - https://doi.org/10.11648/j.wjph.20240902.11
    AB  - Globally, health management information systems (HMIS) in strengthening health systems have gained recognition due to potential of technology to improve access to quality care in underserved communities. In Kenya, the functionality of Community based- Health Management Information System (CBHMIS) currently stands at 55% down from 64% in year 2015. The aim of this paper was to determine the influence of behavioral factors of community units personnel on CBHMIS. As a nested study, with a broader aimt to establish the operational status of CBHMIS and its use in selected counties in Kenya; The main objective of this research was: To establish whether behavioural factors of Community Health Promoters (CHPs) influence CBHMIS use in Kenya. A mixed method design. was adopted, Kiambu, Kajiado and Nairobi counties formed the study location, a target population of 156 active community units was considered to arrive at a total sample of 122 community units and out of 7800CHPs a sample of 366 respondents was drawn. Multistage sampling was used to identify the CUs, and systematic random sampling to identify 366 respondents. Quantitative data tools were semi-structured closed ended questionnaires. Qualitative data tools included observation checklist, Focus Group Discussion and Key Informant Interviews guides. Quantitative data was analyzed using SPSS to generate univariate and bivariate analysis at p2 = .137). Results show that the model was valid (F(1, 363) = 58.579, P = .001) hence the explanatory variable (X2, Behavioral factors) is good in explaining total variations in Use of CbHMIS by community units. This implies that the use of CbHMIS by Community Units (CU) improves significantly when the community units have better behavioural factors. In conclusion, behavioural factors of CHPs have strong and significant influence on the CBHMIS use. Motivation of CHPs is key as a motivator to CBHMIS use, as well as. provision of material support including reporting tools and IEC materials and capacity development technical, computer and electronic reporting skills to enhamce CHP operations and processes.
    
    VL  - 9
    IS  - 2
    ER  - 

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Author Information
  • Department of Environmental Health and Disease Control, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya; Department of Health Systems Management, Kenya Methodist University, Meru, Kenya

  • Department of Health Sciences, Rongo University, Rongo, Kenya

  • Department of Health Informatics and Information Systems, Kenyatta University, Nairobi, Kenya

  • Department of Health Informatics and Information Systems, Kenyatta University, Nairobi, Kenya

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