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The Influenceof Parallel Reporting SystemsonData Quality and Information Use in Northwest Ethiopia: Qualitative Study
Minyihun, Amare; Berhanu, Fikadie Endehabtu; Kassahun, Dessie Gashu; Mamuye, Adane; Birhanu, Taye; Teklehaimanot, Gebrehiwot; Asmamaw, Atnafu; Tajebew, Zayede; Lake, Yazachew; Getasew, Amare; Binyam, Tilahun.
Affiliation
  • Minyihun, Amare; Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar,. Gondar. ET
  • Berhanu, Fikadie Endehabtu; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar. Gondar. ET
  • Kassahun, Dessie Gashu; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar. Gondar. ET
  • Mamuye, Adane; Department of Computer Science, Faculty of Informatics, University of Gondar. Gondar. ET
  • Birhanu, Taye; Policy Plan Directorate, Amhara Regional Health Bureau, Bahirdar. Bahirdar. ET
  • Teklehaimanot, Gebrehiwot; Policy Plan Directorate, Amhara Regional Health Bureau, Bahirdar. Bahirdar. ET
  • Asmamaw, Atnafu; Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar,. Gondar. ET
  • Tajebew, Zayede; Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar,. Gondar. ET
  • Lake, Yazachew; Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar,. Gondar. ET
  • Getasew, Amare; Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar,. Gondar. ET
  • Binyam, Tilahun; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar. Gondar. ET
Ethiop. j. health dev. (Online) ; 36(1): 1-10, 2022. tables
Article in En | AIM | ID: biblio-1398515
Responsible library: CG1.1
ABSTRACT

Background:

Ethiopia utilisesthedistrict health information systemfor health information management. However,the lower level health structure seems inaccurate in comparisonto theparallel reportingsystem, withlimited evidence on its effect ondata quality and information use.Therefore,the present study aimed to assess the influence of a parallel reporting system on data quality and information use at the lower level structuresof the Amhara region, Northwest Ethiopia.

Methods:

The study was conducted in five districts of the Amhara region using an explanatory case study design. Twenty respondents were interviewed from the 1st­30thApril 2021,usinga semi-structured key informant interview(KII)guide with multiple probes to explore relevant information. The data was transcribed into English and transferred to the Open-Code 4.02 software for analysis. Textual data werecoded, and themes were identified from the synthesis. Inductive thematic analysis was applied to identify the relationships among the emerging themes in order todraw a relevant conclusion.

Results:

Five themeswere emerged fromthe analysis, includingthe current practice of parallel reporting, a program area of parallel reporting, the influence of parallel reporting, reasonsfor parallel reporting,and means to avoid parallel reporting.Likewise, parallelreportingwasdone at the district level and at the point of service delivery. The respondents described maternal and child health programs often usingparallel reporting. Parallel reporting was described as havingundesirable impacts on routinely collected health data quality and use. Moreover, it increases the work burden; andaffects service quality,the the satisfactionlevelsof clients and staff, and the overall efficiency. The main reasons for practicingparallel reporting weremissing important data elements in DHIS2, single language, varying stakeholders' interests, and lack of conductinga partnerforum.Conclusion and implicationAgainst the national health information system'sguiding principlesand vision, parallelreporting is practicedat the lower health system levelsfor various programs. Therefore, a corrective measure should be taken to achieve the country's information revolution (IR) agenda. To avoid parallel reporting mechanisms, it is recommended that regular partner forums at the district level must be strengthened, important data elements should beincorporated into the DHIS 2, and additional language platforms should be be included in theDHIS2 system.
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