Utilization of routine health information and associated factors among health workers in Hadiya Zone, Southern Ethiopia

Wude, Habtamu; Woldie, Mirkuzie; Melese, Dejene; Lolaso, Tsegaye; Balcha, Bahailu

doi:10.1371/journal.pone.0233092

Cited by 37 publications

(65 citation statements)

References 11 publications

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“…PMT members competent in DHIS2 data tasks were 2.41 times more likely to have a higher level of commitment to use DHIS2 data for decision making than those incompetent in DHIS2 data tasks (AOR 2.41, 95% CI 1.27-4.55). This finding was in line with those reported in studies conducted in Ethiopia [ 25 ], Ghana [ 2 ], Nairobi, Kenya [ 26 ], and another study conducted at the health facilities in Kenya ( P =.03) (AOR 4.32, 95% CI 2.34-7.98) [ 27 ]. However, this finding was inconsistent with that of a study conducted in Kenya, which indicated that competency in DHIS2 task has no association with the performance of the health information systems [ 28 ].…”

Section: Discussionsupporting

confidence: 92%

Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

et al. 2021

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Background Changing the culture of information use, which is one of the transformation agendas of the Ministry of Health of Ethiopia, cannot become real unless health care providers are committed to using locally collected data for evidence-based decision making. The commitment of health care providers has paramount influence on district health information system 2 (DHIS2) data utilization for decision making. Evidence is limited on health care providers’ level of commitment to using DHIS2 data in Ethiopia. Therefore, this study aims to fill this evidence gap. Objective This study aimed to assess the levels of commitment of health care providers and the factors influencing their commitment levels in using DHIS2 data for decision making at public health care facilities in the Ilu Aba Bora zone of the Oromia national regional state, Ethiopia in 2020. Methods The cross-sectional quantitative study supplemented by qualitative methods was conducted from February 26, 2020 to April 17, 2020. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics, including bivariable and multivariable analyses, were performed. Thematic analysis was conducted for the qualitative data. Results Of the 264 respondents, 121 (45.8%, 95% CI 40.0%-52.8%) respondents showed high commitment levels to use DHIS2 data. The variables associated with the level of commitment to use DHIS2 data were found to be provision of feedback for DHIS2 data use (adjusted odds ratio [AOR] 1.85, 95% CI 1.02-3.33), regular supervision and managerial support (AOR 2.84, 95% CI 1.50-5.37), information use culture (AOR 1.92, 95% CI 1.03-3.59), motivation to use DHIS2 data (AOR 1.80, 95% CI 1.00-3.25), health needs (AOR 3.96, 95% CI 2.11-7.41), and competency in DHIS2 tasks (AOR 2.41, 95% CI 1.27-4.55). Conclusions In general, less than half of the study participants showed high commitment levels to use DHIS2 data for decision making in health care. Providing regular supportive supervision and feedback and increasing the motivation and competency of the health care providers in performing DHIS2 data tasks will help in promoting their levels of commitment that can result in the cultural transformation of data use for evidence-based decision making in health care.

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Section: Discussionsupporting

confidence: 92%

Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

et al. 2021

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“…times more likely to have high commitment when compared to those who has low motivation to use DHIS2 data for their decision making[AOR = 1.80, 95% CI: (1.00, 3.25)]. This study (P-value = .033) was in line with study done in Ethiopia (24) and Ghana (P-value = .014) (2).…”

Section: Discussionsupporting

confidence: 82%

“…The odds of respondents with regular supportive supervision visits were 2.84 times more likely to have a high level of commitment among PMT members than those who did not have regular supportive supervision[AOR = 2.84, 95 CI:( 1.50, 5.37)]. The result was similar to study conducted in Ethiopia (24,28) and Ghana that shows commitment to use DHIS2 data was directly associated with the day to day managerial supervision one has (P-value = .045) (2).…”

Section: Discussionsupporting

confidence: 77%

Level of Commitment and associated factors to Use District Health Information System (DHIS2) for decision making among health providers in a resource limited settings: Cross-sectional survey

Kanfe¹,

Mengiste

Tilahun

et al. 2020

Preprint

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Background: Changing information use culture, one of the transformation agenda of the Ministry of Health of Ethiopia, can’t be real unless health providers have commitment to use locally collected data for evidence based decision making. Performance Monitoring Team (PMT) members’ commitment has a very paramount influence on district health information system data (DHIS2) utilization for decision making. Evidence is limited on performance monitoring team members’ commitment to use DHIS2 data. Therefore, this study will fill the evidence gap.Objective: This study aimed to assess the level of commitment and its associated factors among Performance Monitoring Team members to use DHIS2 data for decision making at health facilities in Ilu Aba Bora Zone of Oromia national regional state, Ethiopia 2020G.C.Method: Cross sectional quantitative study supplemented by qualitative methods was conducted to assess commitment level of PMT members’ to use DHIS2 data. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics including Bivariable and Multivariable analyses was done. Thematic analysis was conducted for qualitative part Result: Overall 121(45.8%) of the respondents had commitment to use DHIS2 data (95% CI: [40.00, 52.8]). Feedback [AOR= 1.85, 95% CI: (1.02, 3.33)], Supervision [AOR= 2.84, 95% CI: (1.50, 5.37)], Information use culture [AOR=1.92,95% CI: (1.03, 3.59)] ,Motivation [AOR=1.80, 95% CI: (1.00, 3.25)] ,Health need [AOR=3.96, 95% CI: (2.11, 7.41)] and Competency [AOR=2.41, 95% CI:(1.27,4.55)] were variables associated with level of commitment to use DHIS2 data. Conclusion: In general, less than half of the study participants had commitment to use DHIS2 data for decision making. Information use culture, Motivation, Competency, Health need, Supervision and Feedback were the most determinant factors. Providing regular supportive supervision and feedback, increasing motivation and changing attitude will help to bring cultural transformation of data use.

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“…Generally, in Sub-Saharan Africa, the level of health information utilisation at primary health care, and the district is poor [23]. In Ethiopia, the level of HMIS data utilisation for different decision-making purposes has been reported at 57.9%-62.7% [28][29][30]. In a recent study in Zanzibar, it was reported that only 42% of the healthcare workers used HIMS data for monitoring and evaluation, 35% for planning, 23% for supply and drugs management, 18% for budgeting, and 10% for disease outbreak preparedness [31].…”

Section: Discussionmentioning

confidence: 99%

“…In a recent study in Zanzibar, it was reported that only 42% of the healthcare workers used HIMS data for monitoring and evaluation, 35% for planning, 23% for supply and drugs management, 18% for budgeting, and 10% for disease outbreak preparedness [31]. Factors associated with good utilization of HMIS data have been described to include staff motivation, training, supportive supervision, a good perceived culture of health information, competence, and decisions based on superior directives [29][30].…”

Section: Discussionmentioning

confidence: 99%

Data Utilisation and Factors Influencing the Performance of the Health Management Information System in Tanzania

Mboera

Rumisha

Mbata

et al. 2021

Preprint

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Background: Health Management Information System (HMIS) is a set of data regularly collected at health care facilities, aimed to meet the needs of statistics on health services. This study aimed to determine the utilisation of HMIS data and factors influencing the performance of health system at the district and primary health care facility levels in Tanzania. Methods: This cross-sectional study was carried out in 11 districts and involved 115 health care facilities in Tanzania. Data were collected using a standard questionnaire and an observational checklist. The collected data was cleaned, summarized into proportions and graphical presentation using STATA version 13 software. Results: This study involved 115 health facilities in 11 districts. A total of 93 health facility workers and 13 district officials were interviewed. About two-thirds (60%) of the facility respondents reported to use the HMIS data they collect. Data were mainly used for comparing performance in terms of services coverage (53%), monitoring of disease trends over time (50%), and providing evidence for community health education and promotion programme (55%). The majority (41.4%) of the facility’s personnel had not received any training on data management related to HMIS in the past 12 months. Only five out of 13 district respondents reported to routinely analyse HMIS data. Patient load was described to frequently affect staff performance on data collection and management. Less than half (42%) of the health facilities (HFs) had received supervisory visits from the district office. Nine district respondents reported to systematically receive feedback on the quality of their reports on monthly and quarterly bases from higher authorities. More than half (n=7) of district respondents reported that those responsible for HMIS activities are also responsible for other equally important activities. Conclusion: Poor data utilisation was common in most of the districts and health facilities in Tanzania. Inadequate human and financial resources, inadequate training, lack of supervision, and lack of standard operating procedures were the major challenges affecting the HMIS performance in Tanzania.

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Utilization of routine health information and associated factors among health workers in Hadiya Zone, Southern Ethiopia

Cited by 37 publications

References 11 publications

Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

Level of Commitment and associated factors to Use District Health Information System (DHIS2) for decision making among health providers in a resource limited settings: Cross-sectional survey

Data Utilisation and Factors Influencing the Performance of the Health Management Information System in Tanzania

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