Primary Healthcare Data Management Practice and Associated Factors: The Case of Health Extension Workers in Northwest Ethiopia

Yitayew, Segenet; Asemahagn, Mulusew Andualem; Zeleke, Atinkut Alamirrew

doi:10.2174/1874431101913010002

Cited by 6 publications

(9 citation statements)

References 6 publications

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“…The included studies reported that the utilization of routine health information among health workers ranged from 32.9% [ 25 ] to 97.1% [ 9 ]. Five of the studies included in this review were conducted from Amhara region [ 9 , 21 , 26 – 28 ], two were from Southern Nations Nationalities and People’s Region (SNNPR) [ 29 , 30 ], two were from Oromia region [ 25 , 31 ], and the remaining one was from Dire Dawa administrative city [ 24 ] ( Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

Routine health information utilization and associated factors among health care workers in Ethiopia: A systematic review and meta-analysis

Mekonnen¹,

Gebeyehu²

2021

PLoS ONE

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Background Utilization of routine health information plays a vital role for the effectiveness of routine and programed decisions. A proper utilization of routine health information helps to make decisions based on evidence. Considerable studies have been done on the utilization of routine health information among health workers in Ethiopia, but inconsistent findings were reported. Thus, this study was conducted to determine the pooled utilization of routine health information and to identify associated factors among health workers in Ethiopia. Methods Search of PubMed, HINARI, Global Health, Scopus, EMBASE, web of science, and Google Scholar was conducted to identify relevant studies from October 24, 2020 to November 18, 2020. The Newcastle-Ottawa scale tool was used to assess the quality of included studies. Two reviewers extracted the data independently using a standardized data extraction format and exported to STATA software version 11 for meta-analysis. Heterogeneity among studies was checked using Cochrane Q and I2 test statistics. The pooled estimate of utilization of routine health information was executed using a random effect model. Results After reviewing 22924 studies, 10 studies involving 4054 health workers were included for this review and meta-analysis. The pooled estimate of routine health information utilization among health workers in Ethiopia was 57.42% (95% CI: 41.48, 73.36). Supportive supervision (AOR = 2.25; 95% CI: 1.80, 2.82), regular feedback (AOR = 2.86; 95% CI: 1.60, 5.12), availability of standard guideline (AOR = 2.53; 95% CI: 1.80, 3.58), data management knowledge (AOR = 3.04; 95% CI: 1.75, 5.29) and training on health information (AOR = 3.45; 95% CI: 1.96, 6.07) were identified factors associated with utilization of routine health information. Conclusion This systematic review and meta-analysis found that more than two-fifth of health workers did not use their routine health information. This study suggests the need to conduct regular supportive supervision, provision of training and capacity building, mentoring on competence of routine health information tasks, and strengthening regular feedback at all health facilities. In addition, improving the accessibility and availability of standard set of indicators is important to scale-up information use.

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Section: Resultsmentioning

confidence: 99%

Routine health information utilization and associated factors among health care workers in Ethiopia: A systematic review and meta-analysis

Mekonnen¹,

Gebeyehu²

2021

PLoS ONE

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“…This finding was somewhat comparable to the study in Northwest Ethiopia where 53.3% of health extension workers had good data management practice. 31 However, it was considerably higher than the HIS assessment conducted in Zanzibar and Jamaica whereas data management practice were 27%, and 48%, respectively. 26,27 This explanation might be due to the difference in the study setting and the variation in health information system structures between Ethiopia and those countries.…”

Section: Discussionmentioning

confidence: 83%

“…The questionnaire was adopted from WHO measure evaluation tools of Health Metrics Network (HMN), Performance of Routine Information Systems Management (PRISM) tools, and related studies. 2,7,31,32,36,43 A pretested self-administered questioners were filled by health professionals in order to assess health data management practice, socio-demographic, behavioral, technical, and organizational factors. The questioners consisted of 8 items for socio-demographic and 26 items for behavioral factors.…”

Section: Data Collection Tool and Proceduresmentioning

confidence: 99%

“…10,28 Poor data management knowledge, supervision, feedback, training and resource shortage were the main determining factors associated with health data management practice. [29][30][31][32][33][34] In Ethiopia, different efforts have been made to strengthen routine health information systems (RHIS). 35,36 The Federal Ministry Of Health (FMOH) has designed, developed and implemented digital systems for managing health data including, District Health Information System 2 (DHIS2), to manage national reporting system, and electronic Community Health Information System (e-CHIS), to manage community health information system (CHIS).…”

Section: Introductionmentioning

confidence: 99%

“…Health professionals who scored greater than & equal to the mean value of Likert scale questions, ranging from "strongly disagree" to "strongly agree", were labeled as having a good data management practice. 31,32 Health professionals who scored less than the mean value were labeled as having poor data management practice. In this study, health professionals were defined as those employees who had at least a diploma certificate in the health profession and directly mange patients' or clients' data.…”

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confidence: 99%

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Health Data Management Practice and Associated Factors Among Health Professionals Working at Public Health Facilities in Resource Limited Settings

Ngusie

Shiferaw

Bogale

et al. 2021

AMEP

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Background: Despite the vast amount of resources invested in the development of health information systems, health professionals in developing countries are still suffering from lack of adequate skill to perform health data management activities. There is a lack of sound evidence to overcome health data management challenges in this setting. This study aimed to assess health data management practice and its associated factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia. Methods: A quantitative cross-sectional study was conducted at public health facilities in North Wollo Zone, Northeast Ethiopia from March 2 to April 15, 2020. A total of 715 health professionalswere selected using a stratified random sampling technique. EpiData version 4.6 and STATA version 15 were used for data entry and analysis, respectively. Descriptive statistics were computed. Multi-variable logistic regression analyses techniques were carried out to show the association between explanatory and outcome variables. Odd ratio at 95% confidence level was used to describe the strength of association. Results: A total of 643 health professionals participated in this study. The response rate was 90%. Among them, 56.1% (95% CI: 52.3%-59.9%) demonstrated good data management practice. Working in health center [AOR=1.31 (95% CI: 1.853, 2.003)], having knowledge on data management [AOR=3.74 (95% CI: 2.454, 5.713)], favorable attitude toward data management [AOR=2.64 (95% CI: 1.746, 3.976)], high competency level on data management tasks [AOR=3.12 (95% CI: 1.873, 5.197)], friendliness of data management format [AOR=2.26 (95% CI: 1.478, 3.454)], supervision [AOR=1.78 (95% CI: 1.153, 2.745)] and training [AOR=1.84 (95% CI: 1.115, 3.022)] were significantly associated with good practice of health data management. Conclusion: Health data management practices of health professionals' were found to be inadequate. Capacity building to enhance health professionals' data management knowledge, attitude and their competency level, providing continuous supportive supervision, designing friendly data management format, providing comprehensive data management training are necessary measures to improve data management practice in this study setting.

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Utilisation of health management information and its determinant factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia: a cross-sectional study

et al. 2022

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ObjectiveThe study aimed to assess health management information utilisation and associated factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia.SettingThe study was conducted at public health facilities in the North Wollo Zone, Northeast Ethiopia.ParticipantsA total of 664 (56.3% male and 43.7% female) health professionals participated in the study. All health professionals permanently working in North Wollo Zone were included in this study. However, health professionals who were not present during the data collection period by any means and who had less than 6 months of experience were not included in this study.Primary and secondary outcome measuresThe main outcome measure was health management information utilisation.ResultAbout 58.4% (n=388) (95% CI: 54.4% to 62.0%) of the study participants use health management information. The multivariable logistic regression model indicated that participants who had managerial positions are more likely to use health management information with an adjusted OR (AOR) of 3.11 and 95% CI 1.84 to 5.24. Similarly, having a good motivation level (AOR=4.42 (95% CI: 2.82 to 6.93)), perceived good culture of health information (AOR=6.17 (95% CI: 3.35 to 11.36)), a standard set of indicators (AOR=4.11 (95% CI: 2.65 to 6.38)), having good governance of health information system (AOR=1.75 (95% CI:1.13 to 2.72)) and health management information system (HMIS) training (AOR=3.10 (95% CI: 1.89 to 5.07)) were the predictors positively associated with higher utilisation of health management information.ConclusionThis study revealed that utilisation of health management information was still inadequate. Enhancing motivation, building a culture of information use, having standardised indicators, strengthening the governance of health information systems and comprehensive HMIS training were measures to be taken to improve utilisation of health management information in this study setting.

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Primary Healthcare Data Management Practice and Associated Factors: The Case of Health Extension Workers in Northwest Ethiopia

Cited by 6 publications

References 6 publications

Routine health information utilization and associated factors among health care workers in Ethiopia: A systematic review and meta-analysis

Routine health information utilization and associated factors among health care workers in Ethiopia: A systematic review and meta-analysis

Health Data Management Practice and Associated Factors Among Health Professionals Working at Public Health Facilities in Resource Limited Settings

Utilisation of health management information and its determinant factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia: a cross-sectional study

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