Identifying Barriers to the Adoption of Information Communication Technology in Ethiopian Healthcare Systems. A Systematic Review.

Background: Ethiopia's government has planned to digitize the healthcare industry. However, most implementations fail due to various technological and personnel barriers. As a result, this systematic review aimed to comprehensively examine evidence regarding the barriers to adopting information communication technology in the Ethiopian healthcare system.
Methods: This systematic review was conducted by searching the major databases, such as Medline, PubMed, Scopus, Science Direct, Google, Google Scholar, and other online databases. The authors looked for, analyzed, and summarized information about barriers to ICT adoption in the healthcare system. This study included nine articles that described barriers to ICT adoption in the Ethiopian healthcare system.
Results: This systematic review identified 15 barriers to adopting ICT in the healthcare system. The reviewed articles looked into technological barriers to ICT adoption, such as ICT skill, ICT knowledge, a lack of training opportunities, a lack of computer literacy, a lack of computer access, inadequate internet connectivity, and a lack of experience with ICT were cited as barriers to ICT implementation in Ethiopia's healthcare system. Furthermore, organizational components such as Lack of job satisfaction, Lack of Refreshment training, poor staff initiation, management problem, poor infrastructure, and lack of resources remained barriers to ICT adoption in Ethiopia's healthcare system.
Conclusion: This review confirmed that lack of training in ICT, poor ICT knowledge, Poor ICT skill, and a lack of computer access were the most common barriers to adopting ICT in the Ethiopian healthcare system. Therefore, it is recommended that the emphasized barriers to ICT adoption be addressed in order to modernize the current Ethiopian healthcare system.

Background

Information and communication technology has the potential to transform every area of the healthcare system.1,2 ICT adoption in the health industry solves critical health data management difficulties and improves the quality of health services.3

There is a considerable burden of sickness and a scarcity of skilled health staff in developing countries.4 These parts of the continents continue to face health problems characterized by the spread of tropical infectious diseases and high infant mortality and maternal mortality.5 As a result, information communication technology is expected to improve health care delivery by fostering a culture of communication and data management.6,7 Additionally, ICT allows health professionals and patients to support primary care and encourage preventive healthcare.8

Evidence suggests that the implementation of e-Health applications such as electronic medical records, telemedicine systems, mobile health apps, and district health information systems has increased in Ethiopia.4,9,10 However, most implementations fail due to technological and personnel barriers.11 Ethiopia’s government has planned to digitize the healthcare industry.12 There are several e-Health projects currently, most of which are suffering sustainability issues.11,13,14 This could be due to several obstacles that prevent target users from adopting health information technology. The individual study showed that lack of ICT infrastructure, expense, technical barriers, a shortage of competent human resources, and a lack of readiness among medical practitioners are obstacles.4,15–20 One frequently proposed technique for closing this gap is to intervene in the barriers before or during the implementation of an e-health system.10 However, to the authors’ knowledge, there has not been comprehensively examined evidence regarding the barriers to adopting health information technology in Ethiopia. As a result, this systematic review aimed to comprehensively examine evidence regarding the barriers to adopting ICT in the Ethiopian healthcare system. The findings of this systematic review will assist health managers and other stakeholders in implementing various e-health initiatives and projects.

Methods

Search Strategy

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses were used to systematically review the available literature (PRISMA) ().21 The PRISMA flow diagram is also used to visually represent the studies that have been identified, included, and excluded.

Publications were searched using Online databases: Medline, PubMed, Scopus, Science Direct, Google, Google Scholar, and other online databases until April 5, 2022. Snowballing of the literature was used to find the most relevant study based on the objectives.

Endnote X9 software will be used to retrieve and manage studies found through our database searching strategy. The search phrases included Medical Subject Headings (Mesh), keywords, and free text search queries. We include alternative terms for Barriers and combine them using Boolean operators Search terms as the search terms. Search ((“Barriers” OR “Challenge” OR “Obstacles” OR “Determinants” OR “Factors‘) AND (“ICT” OR “Health information technology” OR “Computer” OR “Digital technology”) AND (“health professional” OR “Medical students”) AND (Ethiopia)).

Eligibility Criteria

This systematic review includes all cross-sectional, analytical cross-sectional research concentrating primarily on ICT adoption in the Ethiopian healthcare system. Full-text publications written in English that were published in peer-reviewed journals or located in the grey literature and were easily accessible are included in this review. However, studies on other electronic systems utilized in healthcare (such as EMR systems or Electronic Health Records (EHRs)), studies published in languages other than English, and studies other than cross-sectional studies, such as case reports, conference reports, national survey reports, and expert opinions, are excluded from this systematic review.

Data Extraction

After identifying eligible articles, two independent reviewers (MDT&SMW) extracted the relevant data using an organized format on Microsoft Excel Spreadsheet. Discrepancies between data extractors have reached a consensus by discussion. We recorded the first author’s last name, year of publication, the study’s setting, study design, study period, and sample si for each included article.

Quality Appraisal

Quality assessment criteria were developed for research that reported the barriers to ICT adoption in the healthcare system. Two separate authors appraised the quality of the study chosen for this review (MDT&SMW). The Joanna Briggs Institute was used to assess the quality of the included studies.22 The final systematic review included five-star or higher articles ().

Data Analysis

The combined meta-analysis results were not performed in this systematic review. There was significant heterogeneity across the included studies due to differences in the nature of the outcome and study participants. As a result, integrating them would have been methodologically ineffective, and a systematic review of studies on the barriers to adopting ICT was preferable. The barriers were ranked depending on how often they were featured in the studies. In our research, this strategy produced consistent results.

Results

Identified Studies

A total of 1482 records were found through database searching. Seven hundred forty results were exported after duplication. After title and abstract screening, 642 papers were eliminated. Following that, 98 studies were selected for a full-text review. The full-text assessment resulted in the exclusion of 90 articles. Finally, the review included nine studies (Figure 1).

Figure 1

PRISMA flowchart showing the selection process of the articles.

Characteristics of Included Studies

The final systematic review included nine studies conducted in Ethiopia. Except for one study that employed a mixed methodology,20 the reaming eight studies employed a cross-sectional quantitative study. There are also differences across several dimensions; eight studies were conducted in hospital and primary health care settings, and the remaining two were conducted in medicine and health sciences universities. Table 1 illustrates six studies conducted on health professionals, two articles on health sciences students, and one study conducted on the medical record unit personnel.15

Table 1

Characteristics of Included Studies

Author, Year of Publication	Type of Research	Methods of Data Collection	Sampling Strategy	Study Population	Sample Size	Quality Score
Asemahagn et.al, 201519	Quantitative	Questionnaire	Systematic random sampling	Health Professionals	320	9
Seboka et.al, 202124	Quantitative	Questionnaire	Simple random sampling	Health Professionals	423	9
Meseret et.al, 202015	Quantitative	Questionnaire/observational	Survey	MRU	261	7
Mohammed et al, 201317	Quantitative	Questionnaire	Stratified sampling	Health Professionals	304	9
Tsigie et al, 202118	Quantitative	Questionnaire	Simple random sampling	Health Professionals	314	8
Woreta et al, 202016	Quantitative	Questionnaire	Systematic random sampling	University students	1096	9
Hailegebreal et al, 202223	Quantitative	Questionnaires	Simple random sampling	University students	355	9
Alwan et al, 20154	Quantitative	Questionnaires	Survey	Health professionals	554	8
Adane et al, 201020	Mixed	Questionnaires/ interview	Not provided	Health professionals	403	7

Identified Barriers to the Adoption of ICT in the Healthcare Systems

The nine studies included in this review indicated 15 barriers to ICT adoption in the Ethiopian healthcare system (Figure 2). The reviewed articles looked into technological barriers to ICT adoption, such as ICT skill,16,23 ICT knowledge,16,18,23 a lack of training opportunities,4,15–18,20,23,24 a lack of computer literacy,19 a lack of computer access,15,17,19,24 inadequate internet connectivity,19 and a lack of experience with ICT24 were cited as barriers to ICT implementation in Ethiopia’s healthcare system. Furthermore, organizational components such as lack of job satisfaction,17 Lack of Refreshment training,19 poor staff initiation,19 management problems,19 poor infrastructure,19 and lack of resources19 remained barriers to ICT adoption in Ethiopia’s healthcare system.

Figure 2

Identified barriers to the adoption of ICT in the Ethiopian healthcare system.

Figure 2 displays the fifteen barriers from the nine papers that were chosen, along with their frequency of occurrence. As a result, lack of training in ICT, poor ICT knowledge, Poor ICT skill, and a lack of computer access were all common barriers in at least two studies. Almost all articles mention the lack of computer training as one of the most common barriers to adopting ICT in the healthcare system. Lack of computer access was also seen in nearly half of the research covered in this systematic review. Poor ICT knowledge and skill were again the most common underlying barrier, appearing in three and two research, respectively, out of nine included studies (Figure 2).

Discussion

Health information technologies encompass various strategies to deliver high-quality patient care. An academic study into the factors influencing the adoption of HIT in Ethiopia has been scattered, leaving researchers with limited comprehensive knowledge of the challenges to HIT implementation. No prior review has specifically examined or synthesized the evidence on the significant barriers that affect HIT adoption in the Ethiopian health care system. This systematic review contributes to this field by critically evaluating and synthesizing existing research on HIT adoption barriers, which may help identify significant HIT implementation barriers.

To accomplish the objectives of this systematic review, we compiled empirical data on 15 barriers to adopting HIT in the Ethiopian healthcare system. Residing in rural areas, older age groups, lack of training in ICT, poor ICT knowledge, Poor ICT skill, a lack of computer access, and a low education level were prevalent Obstacles in at least two research studies.

A lack of computer training was one of the most frequently reported barriers to ICT adoption in the healthcare sector. According to a study conducted in Canada, lack of computer training is a recognized barrier to ICT adoption in a healthcare context.25 In a study conducted in Australia, barriers, and facilitators to using e-Health technology confirms that training and education are barriers to HIT adoption.26 Furthermore, similar studies on the obstacles to EMR adoption in Ethiopia supported the conclusion that computer training is one of the contributing variables to the clinical information system adoption.27 This suggested that the government should prioritize computer education when adopting HIT in Ethiopia. Therefore, it is essential to include computer training as a key component of successful HIT adoption.

Computer inaccessibility was highlighted in over half of the papers analyzed as a significant barrier to ICT adoption in the Ethiopian healthcare system. This finding is consistent with earlier studies,28–30 which found that a lack of computer access is the main barrier preventing healthcare workers from adopting health information technology. A study conducted in developing nations also supports our findings that lack of computer hardware and software is one of the challenges in adopting health information technology.31 Similarly, according to a study conducted in Ghana, a lack of ICT infrastructure hinders the implementation of information and communication technology in the health setting.32 This shows that for the Ethiopian healthcare system to successfully implement health information technologies, the ministry of health should increase the accessibility of digital technology in the healthcare setting.

The present study also found that poor knowledge and skill in ICT were also the identified barriers to the successful adoption of health information technology. A study in Pakistan found that implementing health information technology in underdeveloped nations is hindered by a lack of ICT expertise and skills.31 Similar research has identified ICT skill and knowledge as the most crucial factor to consider in implementing the health information technology.33,34 As skill is the main factor in ICT adoption in healthcare,35 interventions are required to improve health professionals’ knowledge and use of ICT. This demonstrates the necessity for specialized training to enhance the ICT skills and knowledge of healthcare staff to enable efficient use of ICT within the healthcare system.4 Therefore, it is suggested that it is desirable to improve health practitioners’ ICT knowledge and skills before introducing health information technology.

Conclusion and Recommendation

This study identified 15 barriers to adopting ICT in the Ethiopian healthcare system. The review confirmed that lack of training in ICT, poor ICT knowledge, Poor ICT skill, and a lack of computer access were the most common barriers to adopting ICT in the Ethiopian healthcare system. These findings will assist health managers and other stakeholders in implementing various ICT programs and projects in the Ethiopian healthcare system. This evidence can advance our understanding of the potential barriers and suggested solutions for ICT adoption in the Ethiopian healthcare system. As a result, It is recommended that the specific barriers to ICT adoption in the Ethiopian health system be addressed in order to innovate health care delivery. Using this data, researchers can investigate reported barriers in diverse contexts and nations. Future studies should focus on identifying barriers that prevent the implementation of e-health services like Telemedicine, M-health, and comparable ones in the Ethiopian healthcare system.

Strength and Limitations

This systematic review contributes to this field by critically evaluating and synthesizing existing research on HIT adoption barriers, which may help identify significant HIT implementation barriers. This study has certain drawbacks. The significant limitation is that only a few studies were discovered despite the authors’ exhaustive search. This could be related to the lack of investigation into Ethiopia’s health information technology adoption.