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. Author manuscript; available in PMC: 2019 Mar 25.
Published in final edited form as: East Afr J Appl Health Monitor Eval. 2018;2018(2):http://eajahme.com/wp-content/uploads/2018/03/Sebuliba_FINAL.pdf.

Table 3.

Action plans developed by facilities and progress achieved.

(N=number of facilities out of 100 who identified the issue as important)

Issue identified Action taken Progress
Late submission of data reports to the district; insufficient number of staff compiling reports (N=51) Staff from each department trained to summarize data More than 90% of health facilities submitted reports on time
Data collection tools incomplete; registers not updated on a monthly basis and staff not familiar with how to complete them (N=88) Training provided in how to complete registers. Supervisors required to check tools and registers on a regular basis. Based on mentorship team’s evaluation of data quality, registers were completed and accurate; quality of reports to district improved as a result
Lack of QI committee to evaluate data and interpret it for use in programming (N=79) Mentorship teams worked to set up QI committee; training in how to review specific indicators to evaluate service provision Projects developed to improve programming weaknesses, such as ART adherence assessments, TB screening of HIV patients, and ongoing review of TB and HIV records to improve TB case-finding
Limited data analysis and use (N=84) Hold facility data review meetings quarterly; performance graphs developed after data analysis Graphs of MOH performance indicators compared to MOH targets displayed in areas where the staff and the public could see them*
Poor record keeping and use of outdated data tools (N=65) Organize space for record keeping and discard outdated registers; provision of updated tools by META and MOH Improved filling of clients’ files in the HIV clinics so they could be retrieved; data collected on updated forms
Lack of knowledge about data management by some health care workers (N=92) Oriented health facility staff in data management and reporting with support from META staff Data requests from different departments increased; different departments became involved in compiling reports
Limited or no health facility Supervision of records assistants; high levels of absenteeism (N=95) Staff in charge of facilities began regular supervision; data committees with representatives from departments were created, and performed monthly reviews of data quality Reduced absenteeism of records assistants and increased involvement by individual departments in data management
Inaccurate data reported to the district and thus also to the MOH (N=74) Conduct data quality assessments routinely to check accuracy and completeness of data Improvement in accuracy of reporting for key HIV indicators.
*

MOH-specified indicators that were required to be monitored included immunization coverage, numbers and proportions of HIV infected clients enrolled in care, ante-natal clinic attendance of pregnant women, among others.