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Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia

Received: 11 January 2019     Accepted: 10 April 2019     Published: 10 July 2019
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Abstract

Background: The Ethiopian Health Management Information System (HMIS) has been implemented since 2008 to improve the provision of health services, and ultimately, to improve health status of the population. Currently, information revolution is one of the transformation agenda in Ethiopia. Ironically, as in many low-income countries, lack of reliable data and grossly inadequate appreciation and use of available information for planning and management of health services were also true for the HMIS of Ethiopia. This, therefore, to assess the level of implementation HMIS program and utilization of data generated in governmental hospitals of western Oromia, Ethiopia. Methods and Material: The study was conducted in seven randomly selected Western Oromia Hospitals. A descriptive facility based cross-sectional study design with quantitative and qualitative data collection method was employed. The final sample size was calculated to be 620. The samples were selected by simple random sampling technique. The collected data was checked for any inconsistencies and analyzed by fitting multivariate logistic regression in SPSS version 17.0 statistical package. Result: Of the total 620 sampled population, 569 participated with an overall response rate of 91.8%. Of the total respondents, 504 (88.6%) were ever implemented HMIS tools to collect patients data in their respective hospital. Of which, only 85 (16.9%) perceived that they regularly analyze the collected data into meaningful information. Despite the inspiring message by H. E. Dr. Kesetebirhan Admasu former Minister, Federal Ministry of Health, Ethiopia “….health information is much more than collecting figures. Data have no value in themselves; value and relevance come after data management and analysis…the process whereby data are transformed into information and knowledge for action.” In this study, only 221 (43.8%) reported they used HMIS generated information for a different actions in their respective hospitals. This study revealed that the major challenges for consistent implementation and use of HMIS were incomplete data filling 174 (34.5%) followed by a shortage of trained human power 158 (31.3%) in HMIS. Furthermore, there was statistically significant association between consistent implementation of HMIS program with presence of HMIS reporting format, regular monitoring and evaluation, trained staffs and having regular feedback. Conclusions: In this study, more than three-fourths of participants perceived they were ever implemented HMIS to generate information. But, less than half of participants reported they used the output of HMIS generated information for reporting, planning and decision making at local level.

Published in International Journal of Intelligent Information Systems (Volume 8, Issue 2)
DOI 10.11648/j.ijiis.20190802.13
Page(s) 52-57
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), 2019. Published by Science Publishing Group

Keywords

Health Management Information System, Implementation Level, Governmental Hospital, Ethiopia

References
[1] L. Theo, S. Rainer. A framework for designing Health Information Systems, 2000. Available at: http://libdoc.who.int/publications/2000/9241561998_(chp2).pdf. Accessed, March 7, 2014.
[2] SD. Makombe, M. Hochgesang, A. Jahn, H. Tweya, B. Hedt, S. Chuka, JK. Yu, J. Aberle Grace, O. Pasulani, C. Bailey, K. Kamoto, EJ. Schouten, AD. Harries. Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi. Bull World Health Organ. 2008. 86: 310–314.
[3] MOH. Health Policy of the Transitional Government of Ethiopia, FMOH 1993.
[4] MOH. Health Management Information System (HMIS) /Monitoring and Evaluation (M&E) Strategic Plan for Ethiopian Health Sector. Federal Ministry of Health, 2008.
[5] A. Garrib, N. Stoops, N. McKenzie, L. Dlamini, T. Govender, J. Rohde, K. Herbst. An Evaluation of the District Health Information System in rural South Africa. S Afr Med J. 2008. 98: 549–552.
[6] MOH. Assessment of the Ethiopian National Health Information System. Federal Ministry of Health, 2007.
[7] W. Mphatswe, KS. Mate, B. Bennett, H. Ngidi, J. Reddy, PM. Barker, N. Rollins. Improving Public health information: a data quality intervention in Kwazulu-Natal, South Africa. 2012. Bull World Health Organ 90: 176–182.
[8] N. Archangel. The Critical Issues Affecting the Introduction of Health Management Information Systems in Developing Countries in Africa, 2007. Thesis Master Informatiekunde Programma Business Information Systems Universiteit van Amsterdam Faculteit Natuurwetenschappen Wiskunde en Informatica en Faculteit Economie en Bedrijfskunde.
[9] T. Nutley, S. McNabb and S. Salentine. Impact of a decision-support tool on decision making at the district level in Kenya. Health Research Policy and Systems. 2013, 11: 34.
[10] A. Gashaw. Assessment of Utilization of Health Information System at District Level with particular Emphasis to HIV/AIDS program in North Gondar Zone Amhara National regional State. 2006. MSc. Thesis. Addis Ababa: Community Health: Addis Ababa University.
[11] Ministry of Health of Kenya. Health Management Information System of Kenya– a Report on the performance Status. 2008.
[12] Nicholas, D. et al. Searching intention and information outcome: a case study of digital health information. 2001, Libri, vol. 51, no. 157, pp. 166.
[13] Bawden, D. & Blakeman, K. IT strategies/or information management", Butterworth, London. 1999.
[14] Dubow, J. Improving health, connecting people: the role of ICTs in the health sector of Developing countries. 2006.
[15] Jhpiego. Beyond survival: Ensuring quality of healthcare for all. Jhpiego annual report, 2014.
[16] Christine Z, Masatake Y, Vicky H, Robin M, and Daniel A. Mobile Applications for the Health Sector. ICT Sector Unit World Bank, 2012.
[17] Federal Ministry of Health. HMIS Information Use Guide: Technical Standards Area 4: Version 2 2013.
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  • APA Style

    Tesfamichael Alaro, Samuel Sisay, Senait Samuel. (2019). Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia. International Journal of Intelligent Information Systems, 8(2), 52-57. https://doi.org/10.11648/j.ijiis.20190802.13

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    ACS Style

    Tesfamichael Alaro; Samuel Sisay; Senait Samuel. Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia. Int. J. Intell. Inf. Syst. 2019, 8(2), 52-57. doi: 10.11648/j.ijiis.20190802.13

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    AMA Style

    Tesfamichael Alaro, Samuel Sisay, Senait Samuel. Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia. Int J Intell Inf Syst. 2019;8(2):52-57. doi: 10.11648/j.ijiis.20190802.13

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  • @article{10.11648/j.ijiis.20190802.13,
      author = {Tesfamichael Alaro and Samuel Sisay and Senait Samuel},
      title = {Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia},
      journal = {International Journal of Intelligent Information Systems},
      volume = {8},
      number = {2},
      pages = {52-57},
      doi = {10.11648/j.ijiis.20190802.13},
      url = {https://doi.org/10.11648/j.ijiis.20190802.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20190802.13},
      abstract = {Background: The Ethiopian Health Management Information System (HMIS) has been implemented since 2008 to improve the provision of health services, and ultimately, to improve health status of the population. Currently, information revolution is one of the transformation agenda in Ethiopia. Ironically, as in many low-income countries, lack of reliable data and grossly inadequate appreciation and use of available information for planning and management of health services were also true for the HMIS of Ethiopia. This, therefore, to assess the level of implementation HMIS program and utilization of data generated in governmental hospitals of western Oromia, Ethiopia. Methods and Material: The study was conducted in seven randomly selected Western Oromia Hospitals. A descriptive facility based cross-sectional study design with quantitative and qualitative data collection method was employed. The final sample size was calculated to be 620. The samples were selected by simple random sampling technique. The collected data was checked for any inconsistencies and analyzed by fitting multivariate logistic regression in SPSS version 17.0 statistical package. Result: Of the total 620 sampled population, 569 participated with an overall response rate of 91.8%. Of the total respondents, 504 (88.6%) were ever implemented HMIS tools to collect patients data in their respective hospital. Of which, only 85 (16.9%) perceived that they regularly analyze the collected data into meaningful information. Despite the inspiring message by H. E. Dr. Kesetebirhan Admasu former Minister, Federal Ministry of Health, Ethiopia “….health information is much more than collecting figures. Data have no value in themselves; value and relevance come after data management and analysis…the process whereby data are transformed into information and knowledge for action.” In this study, only 221 (43.8%) reported they used HMIS generated information for a different actions in their respective hospitals. This study revealed that the major challenges for consistent implementation and use of HMIS were incomplete data filling 174 (34.5%) followed by a shortage of trained human power 158 (31.3%) in HMIS. Furthermore, there was statistically significant association between consistent implementation of HMIS program with presence of HMIS reporting format, regular monitoring and evaluation, trained staffs and having regular feedback. Conclusions: In this study, more than three-fourths of participants perceived they were ever implemented HMIS to generate information. But, less than half of participants reported they used the output of HMIS generated information for reporting, planning and decision making at local level.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Implementation Level of Health Management Information System Program in Governmental Hospitals of Ethiopia
    AU  - Tesfamichael Alaro
    AU  - Samuel Sisay
    AU  - Senait Samuel
    Y1  - 2019/07/10
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ijiis.20190802.13
    DO  - 10.11648/j.ijiis.20190802.13
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 52
    EP  - 57
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.20190802.13
    AB  - Background: The Ethiopian Health Management Information System (HMIS) has been implemented since 2008 to improve the provision of health services, and ultimately, to improve health status of the population. Currently, information revolution is one of the transformation agenda in Ethiopia. Ironically, as in many low-income countries, lack of reliable data and grossly inadequate appreciation and use of available information for planning and management of health services were also true for the HMIS of Ethiopia. This, therefore, to assess the level of implementation HMIS program and utilization of data generated in governmental hospitals of western Oromia, Ethiopia. Methods and Material: The study was conducted in seven randomly selected Western Oromia Hospitals. A descriptive facility based cross-sectional study design with quantitative and qualitative data collection method was employed. The final sample size was calculated to be 620. The samples were selected by simple random sampling technique. The collected data was checked for any inconsistencies and analyzed by fitting multivariate logistic regression in SPSS version 17.0 statistical package. Result: Of the total 620 sampled population, 569 participated with an overall response rate of 91.8%. Of the total respondents, 504 (88.6%) were ever implemented HMIS tools to collect patients data in their respective hospital. Of which, only 85 (16.9%) perceived that they regularly analyze the collected data into meaningful information. Despite the inspiring message by H. E. Dr. Kesetebirhan Admasu former Minister, Federal Ministry of Health, Ethiopia “….health information is much more than collecting figures. Data have no value in themselves; value and relevance come after data management and analysis…the process whereby data are transformed into information and knowledge for action.” In this study, only 221 (43.8%) reported they used HMIS generated information for a different actions in their respective hospitals. This study revealed that the major challenges for consistent implementation and use of HMIS were incomplete data filling 174 (34.5%) followed by a shortage of trained human power 158 (31.3%) in HMIS. Furthermore, there was statistically significant association between consistent implementation of HMIS program with presence of HMIS reporting format, regular monitoring and evaluation, trained staffs and having regular feedback. Conclusions: In this study, more than three-fourths of participants perceived they were ever implemented HMIS to generate information. But, less than half of participants reported they used the output of HMIS generated information for reporting, planning and decision making at local level.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Health Economics, Management and Policy, Jimma University, Jimma, Ethiopia

  • Information Science, Jimma University, Jimma, Ethiopia

  • Information Science, Jimma University, Jimma, Ethiopia

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