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

Ngusie, Habtamu Setegn; Ahmed, Mohammedjud Hassen; Kasaye, Mulugeta Desalegn; Kanfe, Shuma Gosha

doi:10.1136/bmjopen-2021-052479

Cited by 10 publications

(10 citation statements)

References 40 publications

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“…Besides, the acceptability and practicability of the HIS accountability framework would be challenging if the protocol didn't have a national base. So, it is also advisable to develop a national HIS governance protocol, which would be a base and legal framework across the health system level (29).…”

Section: Discussionmentioning

confidence: 99%

The Practice and Barriers of Health Information System Accountability Framework in Northwest Ethiopia, 2023

Tilahun,

Endehabtu,

Minyihun

et al. 2024

Preprint

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Background The government of Ethiopia has designed different initiatives for the Health Information Systems (HIS), including an information revolution transformation agenda by 2015. Various interventions and working documents have also been developed and implemented targeting the different aspects of the HIS program. However, there is no nationally designed accountability framework to govern HIS activities. Besides, how health institutions follow and monitor HIS activities is unknown. Therefore, this study aimed to assess the practice and barriers of HIS accountability framework at the selected public health institutions. Method A descriptive qualitative study design was employed from June 05 to July 12, 2023. Purposively selected informants from public health institutions were recruited for key informant interviews. A prepared pilot-tested semi-structured interview guide was used. The conventional content approach was used to summarize and synthesize the information explored. Findings: The study revealed that the participants better understood the concept and advantages of the HIS accountability framework. The participants believed the HIS accountability framework would help to govern and manage behavioral-related HIS challenges. It was indicated that the framework will help to control the recurrence of HIS errors, enhance the commitment and adherence of health professionals, and improve data handover practice, data security and privacy, data quality, informed decision, and finality quality of care. Lack of national guidelines on the HIS accountability framework, the poor culture of accountability, multiple responsibilities and workload, high staff and leadership turnover, lack of motivation, and security problems were stated barriers to implementation of the HIS accountability framework. It was suggested to create a conducive work environment, engage health professionals and other actors during the intervention development, build the skills on HIS leadership, and have the national HIS accountability framework document to implement the intervention effectively. Conclusions Even if there is a better understanding of the concept and advantage of the HIS accountability framework, its practice across the system is limited. It would be better to design the HIS accountability framework using a human-centered design/approach by engaging the key HIS actors and understanding their working environment.

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Section: Discussionmentioning

confidence: 99%

The Practice and Barriers of Health Information System Accountability Framework in Northwest Ethiopia, 2023

Tilahun,

Endehabtu,

Minyihun

et al. 2024

Preprint

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“…According to Little (2020), despite proven benefits of digitization many hospitals are still slow towards adoption of digitized solutions for management of essential medicine supply chain. A study by Ngusie et al (2022) and Kanfe et al (2021) asserts that incomplete information contributes to low utilization of the information among health professionals for planning and service delivery. They further allude that incomplete, inaccurate, and erratic information affect the confidence in managers to use the information produced from non-digital information systems for planning and service delivery.…”

Section: Finding and Discussionmentioning

confidence: 99%

The Influence of Quality of Digitized Health Information on Management of Essential Medicine Supply Chain in Public Healthcare Facilities in Kenya

Nalebe,

Odhiambo Otieno,

Kyalo

2024

Int. J. Res. Publ. Rev.

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The aim of this study was to investigate the influence of quality (accurate, reliable, complete, relevant, and timely) of digitized health information on essential medicine supply chain management in public healthcare facilities in Kenya, as a mitigation measure against essential medicine stockout. The study employed both quantitative and qualitative research design in Kajiado, Makueni and Mombasa Counties. 150 healthcare workers were sampled through simple random sampling and 14 key informants through purposive sampling. 143 completed semi structured questionnaires and 14 key informant guides were analyzed using NVivo, Qualitative Data Analysis (QDA) Miner and SPSS software. Multiple regression analysis, hypothesis testing (Inferential statistics) and qualitative information were applied to describe data, draw inferences and conclusion on the findings. Study findings show that a majority of public healthcare facilities in Kenya do not have an end-to-end functional digital health information system (HIS) to support the management of essential medicine supply chain. Information generated by the existing electronic health information systems in public healthcare facilities in Kenya is not timely, is unreliable and incomplete. The study concludes that; quality digitized HIS has positive and significant influence on timely management of essential medicine supply chain in public healthcare in Kenya. The study is significant as it provides evidence for strengthening digital health information systems in public healthcare facilities in Kenya.

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“…For instance, a systematic review and meta-analysis11 as well as other independent studies conducted across the nation came to the conclusion that routine health information was not used effectively for making evidence-based decisions 12–25. The most often mentioned factors affecting routine use of health information in Ethiopia included training15 16 18 20 23 26–29 competency related to data management15 18–20 23 27 28 30 and the availability of standard guidelines (such as indicator definition guideline, Health Management Information System Recording and Reporting Procedures Manual , etc) 15 16 20 26–28 30 31…”

Section: Introductionmentioning

confidence: 99%

Routine health information use among healthcare providers in Ethiopia: a systematic review and meta-analysis

Meseret

Yilma

Mekonnen

et al. 2023

BMJ Health Care Inform

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Introduction Healthcare policy formulation, programme planning, monitoring and evaluation, and healthcare service delivery as a whole are dependent on routinely generated health information in a healthcare setting. Several individual research articles on the utilisation of routine health information exist in Ethiopia; however, each of them revealed inconsistent findings. Objective The main aim of this review was to combine the magnitude of routine health information use and its determinants among healthcare providers in Ethiopia. Methods Databases and repositories such as PubMed, Global Health, Scopus, Embase, African journal online, Advanced Google Search and Google Scholar were searched from 20 to 26 August 2022. Result A total of 890 articles were searched but only 23 articles were included. A total of 8662 (96.3%) participants were included in the studies. The pooled prevalence of routine health information use was found to be 53.7% with 95% CI (47.45% to 59.95%). Training (adjusted OR (AOR)=1.56, 95% CI (1.12 to 2.18)), competency related to data management (AOR=1.94, 95% CI (1.35 to 2.8)), availability of standard guideline (AOR=1.66, 95% CI (1.38 to 1.99)), supportive supervision (AOR=2.07, 95% CI (1.55 to 2.76)) and feedback (AOR=2.20, 95% CI (1.30 to 3.71)) were significantly associated with routine health information use among healthcare providers at p value≤0.05 with 95% CI. Conclusion The use of routinely generated health information for evidence-based decision-making remains one of the most difficult problems in the health information system. The study’s reviewers suggested that the appropriate health authorities in Ethiopia invest in enhancing the skills in using routinely generated health information. PROSPERO registration number CRD42022352647.

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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

Cited by 10 publications

References 40 publications

The Practice and Barriers of Health Information System Accountability Framework in Northwest Ethiopia, 2023

The Practice and Barriers of Health Information System Accountability Framework in Northwest Ethiopia, 2023

The Influence of Quality of Digitized Health Information on Management of Essential Medicine Supply Chain in Public Healthcare Facilities in Kenya

Routine health information use among healthcare providers in Ethiopia: a systematic review and meta-analysis

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