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Journal of the Royal Society of Medicine logoLink to Journal of the Royal Society of Medicine
. 2014 May;107(1 Suppl):96–104. doi: 10.1177/0141076813517680

Institutional facilities in national health research systems in sub-Saharan African countries: results of a questionnaire-based survey

Derege Kebede 1,, Chris Zielinski 1, Peter Ebongue Mbondji 1, Issa Sanou 1, Wenceslas Kouvividila 1, Paul-Samson Lusamba-Dikassa 1
PMCID: PMC4109350  PMID: 24643660

Abstract

Objective

To describe the current status of institutional facilities and the supporting research infrastructure of surveyed health research institutions in Africa, including information on communication technologies and connectivity, library resources, and laboratory operations and resources.

Design

A structured questionnaire was used to solicit information on institutional facilities at health research institutions.

Setting

Health research institutions in 42 sub-Saharan African countries.

Participants

Key informants from 847 health research institutions.

Main outcome measures

The availability of laboratory, information and communication, and library facilities in health research institutions.

Results

Less than half of the respondent health research institutions had computer laboratories (49%), network computers (50%) and information technology support (38%). More than two-thirds (67%) had a library. Electronic subscriptions to international journals were observed to be very low, with an average of three subscriptions per institution. Almost two-thirds of the surveyed institutions (69%) reported having laboratories, about half of which (55%) were accredited nationally. Linkages and research collaborations were generally weak, particularly those with other laboratories in the Region. Challenges included financial and human resource constraints and the inability to communicate effectively with partners.

Conclusions

Health research institutions in the Region have insufficient access to essential facilities such as laboratories, libraries, computers and the Internet to generate, access and share information.

Keywords: research systems, research facilities, Africa research, health research

Introduction

Over the past few years, there has been a growing interest in promoting health research systems, and a consensus has been formed that stronger health research systems are key to achieving improved health outcomes globally1 and in African countries in particular. The World Health Organization (WHO)2 defines a health research system as:

‘… the people, institutions and activities whose primary purpose is to generate high-quality knowledge that can be used to promote, restore and/or maintain the health status of populations. It can include mechanisms adopted to encourage the utilization of research.’

Deriving from this definition, critical factors for the creation and strengthening of robust health research systems include the availability of financial resources, sufficient human competencies and supporting health research infrastructure and facilities.

This paper provides an insight, based on survey data, into the current status of institutional facilities and supporting research infrastructure of surveyed health research institutes in Africa. Along with filling the gap in published African studies on research infrastructure and institutional facilities in health research organizations, the paper provides empirical data to aid decision-making on policies and strategies to strengthen health research systems in Africa.

Methods

The methods followed to assess national health information systems are described elsewhere3 but are summarized briefly here.

This paper analyses survey data collected from health research organizations in 42 countries in the WHO African Region. The survey used Tool 6 from the Health Research System Analysis Initiative: Methods for Collecting Benchmarks and Systems Analysis Toolkit.4 Within the institutional survey, seven questionnaires, representing separate ‘modules’, were completed by the respondent institutions. This report draws on data from one those questionnaires: Module 6000 – Institutional facilities and field sites.

The questionnaire was designed to elicit relevant information on the status and availability of facilities and infrastructure that were identified as critical for the optimal functioning of these research organisations.

The questionnaires were completed by senior personnel such as administrative officials or research directors at the health research institutions, who were considered to be well-informed key informants. Health research organisations were identified to include government agencies, hospitals, non-governmental organisations or charities, pharmaceutical companies, medical schools, other universities and independent research institutions. A total of 847 health research organisations were surveyed, and these formed the basis of the empirical analysis presented in this paper. Table 1 summarises the distribution of each respondent group. Government agencies constituted the highest proportion (30%) of respondents, followed by hospitals (18%).

Table 1.

Characteristics of health research institutions in 42 sub-Saharan African countries, 2009.

Characteristics Health research institutions
n* %
Age of institution (years) (n = 694)
 <30 426 61
 30–59 200 29
 ≥60 68 10
Sector the institution belong to (n = 762)
 Public 536 70
 Private not-for-profit 132 17
 Para-state 37 5
 Private for-profit 26 3
 Other 31 4
Type of institution (n = 847)
 Government agencies 257 30
 Hospitals 154 18
 Medical schools 108 13
 Independent research institutions 106 13
 Other research institutions (non-governmental organisations, charities) 105 12
 Other universities 95 11
 Other 22 3
Level at which institution functions (n = 751)
 National 483 64
 Local 140 19
 Regional 60 8
 International 55 7
 Other 13 2
Primary functions of institution (n = 697)
 Conduct research on health topics 374 54
 Academic 373 54
 Provide health services 338 48
 Conduct research on non-health topics 122 18
 Product development or distribution 74 11
 Other 128 18
National official or working language (n = 847)
 French 445 53
 English 285 34
 Other 117 14
Institution has mandate on
 Research of all types 571 79 (n = 723)
 Health research 563 77 (n = 731)

*Number of respondent health institutions, out of the 847 surveyed.

The analysis in this paper is based on three variables identified as playing a critical role in enhancing the proper and optimal functioning of health research centres in Africa:

  • Availability of, and connectivity to, information and communication technologies (ICT)

  • Library resources

  • Laboratory operations and resources

Concerning the ICT variable, we asked the surveyed institutions to provide information concerning the availability of ICT infrastructure. The indicators for ICT infrastructure included computing equipment and facilities such as data storage servers, Internet access, individual staff email addresses, institutional websites, network connectivity and the availability of information technology (IT) help at the institution.

Regarding the library resource variable, we asked institutions whether they had a library and, if so, the types of library resources that were available. The library resources indicators considered were the availability of Internet access in the library and the use of online resources such as online catalogues and electronic subscriptions to journals. We also investigated the level of subscriptions to locally and regionally published journals, the availability of a reference desk and interlibrary loan facilities.

For the laboratory operations and resources variable, we investigated the availability of laboratories in the surveyed health research institutions. We further investigated if these laboratories were accredited and whether they had adequate capacities and facilities to handle infectious agents safely. We also investigated the extent to which laboratories had linkages with other laboratories within the country, regionally and globally. Finally, we identified the main obstacles hindering the effective functioning of these laboratories.

For responses to questions where institutions were asked to rank items in the questionnaire, we used weighting schemes to arrive at composite ranks. For example, where the response required ranking an item on a 1–5 scale, a weight of five was given to the first rank, four to the second rank and so on, with the fifth rank getting the least weight of one. The average of these was used to derive a composite rank of items.

We used IBM® SPSS® Statistics Version 19 statistical software to analyse the data.

Results

This section provides the results obtained from the analyses of the three key variables that were identified as critical in enhancing research capacity at African health research institutions: ICT use and connectivity, library resources, and laboratory operations and resources.

ICT use and connectivity

The availability and use of ICT facilities in the surveyed institutions was low (Table 2). Only half the respondent institutions (50%) had networked computers, and less than half had computer laboratories (49%) and IT support (38%). Less than half of the respondent institutions (46%) had daily Internet access while only 54–63% provided staff with a computer (Table 3).

Table 2.

Availability of IT connectivity, facilities and software in health research institutions in the WHO African Region, 2009.

IT facility, conductivity and software Health research institutions
n* %
Facility
 Computer laboratory 197 49 (n = 404)
 Meeting/conference room 235 58 (n = 404)
 Classroom/seminar room 314 78 (n = 404)
Networks and support
 Networked computers 226 50 (n = 449)
 IT support 169 38 (n = 444)
Access to Internet
 Daily access to Internet 386 75 (n = 515)
 Unique email address provided 258 51 (n = 508)
 Institutional website 239 41 (n = 586)
Software packages available
 Spreadsheets 423 98 (n = 434)
 Databases 293 68 (n = 431)
 Bibliographic referencing 126 29 (n = 433)
 Statistical packages 220 51 (n = 434)
 Epidemiological packages 212 49 (n = 434)
 Qualitative analysis 65 15 (n = 433)
 Project management 95 22 (n = 434)
 Algorithmic 27 6 (n = 434)
 Simulation 31 7 (n = 434)
 Geographic information system 93 21 (n = 434)

*Number of respondent health institutions, out of the 847 surveyed.

Table 3.

Access to computers and IT services in health research institutions in the WHO African Region, 2009.

Access to computers and IT service Health research institutions
n %
Provision of computer
 Researcher with < 5 years of experience 217 54 (n = 403
 Researcher with 5–10 years of experience 251 62 (n = 403)
 Researcher with 10–20 years of experience 252 63 (n = 403)
 Director or head of the institute 345 86 (n = 403)
 Does not provide computer 37 9 (n = 403)
Provision of computer printer
 Researcher with < 5 years of experience 182 47 (n = 387)
 Researcher with 5–10 years of experience 208 54 (n = 387)
 Researcher with 10–20 years of experience 223 58 (n = 387)
 Director or head of the institute 320 83 (n = 387)
 Does not provide computer printer 40 10 (n = 386)
Provision of Internet access
 Researcher with < 5 years of experience 208 57 (n = 366)
 Researcher with 5–10 years of experience 230 63 (n = 366)
 Researcher with 10–20 years of experience 233 64 (n = 366)
 Director or head of the institute 299 82 (n = 366)
 Does not provide Internet 45 12 (n = 375)

Library resources

More than two-thirds (69%) of respondent institutions had a library (Table 4). Electronic subscriptions to international journals were observed to be very low, with an average of three subscriptions per institution. These observations indicate that, despite access to ICT infrastructure, health research institutions in Africa do not use ICT infrastructure for library services.

Table 4.

Availability and accessibility of library resources in health research institutions in the WHO African Region, 2009.

Availability and accessibility of library resource Health research institutions
n %
Presence of a library 428 69 (n = 624)
Library
 Is part of a consortium 52 12 (n = 409)
 Participates in interlibrary loans 75 18 (n = 427)
 Has a professional information specialist 167 39 (n = 426)
 Has a reference desk 265 63 (n = 419)
Access to the library
 All staff of institution 386 98 (n = 395)
 Researchers from other institutions 338 86 (n = 395)
 General public 201 51 (n = 395)
 External consultants 291 74 (n = 395)
 Other 75 19 (n = 394)
n Mean (95% confidence interval lower, upper limit)
Library collections
 Books/volumes in the collection 298 7588 (4601, 10,576)
 Computers 389 9 (1.5, 17)
 Paid electronic subscriptions 268 3 (0, 7)
 Print subscriptions 307 30 (4, 56)
 Scientific journals subscriptions 301 46 (4, 87)

The data show that interlibrary loan facilities were not commonly used (18%) and that most libraries had manned reference desks (63%). There were, on average, over 7500 books in a library collection, about 30 print subscriptions and 46 scientific journal subscriptions per respondent institution (Table 4).

Laboratory operations and resources

Close to two-thirds (69%) of the respondent institutions reported having laboratories and about half of these (55%) were accredited nationally (Table 5). On the question of the presence of linkages with other laboratories within the country, regionally and globally, about half of the respondent institutions (48%) had laboratories with links to other laboratories within the country, about one-third (35%) had laboratories with links to other laboratories in the world, but only one-quarter reported linkage with other laboratories in neighbouring countries.

Table 5.

Availability of laboratory facilities in health research institutions in the WHO African Region, 2009.

Laboratory characteristics Health research institutions
n* %
Presence of at least one laboratory in the institution 363 61 (n = 597)
Linked with other laboratories in country 163 47 (n = 348)
Linked with other laboratories in neighbouring countries 96 27 (n = 351)
Linked with other laboratories in the world 126 35 (n = 356)
Recognised as a national reference 164 45 (n = 361)
Accredited nationally 205 55 (n = 373)
Laboratory resources
 Line budget for staff training on safety issues 127 36 (n = 355)
 Line budget for staff training on technical aspects 162 44 (n = 366)
 Written safety procedures and policies 177 49 (n = 360)
 Laboratory able to handle any infectious agents 198 57 (n = 346)
 Line budget for equipment maintenance 243 65 (n = 373)
 Line budget for equipment purchase 253 68 (n = 374)
 Line budget for equipment supplies 260 70 (n = 374)
Highest risk group of infectious agents that laboratory can handle
 No or low individual and community risk 49 23 (n = 213)
 Moderate individual risk, low community risk 70 33 (n = 213)
 High individual risk, low community risk 40 19 (n = 213)
 High individual and community risk 54 25 (n = 213)

*Number of respondent health institutions, out of the 847 surveyed.

Other measures of the quality of a laboratory and its performance may be through the existence of safety procedures and codes and the availability of facilities to handle biological samples of varying risk levels. In order to understand their biosafety capacities, the surveyed institutions were asked to indicate the risk group that their laboratory could handle, varying from the lowest risk to the highest. Table 5 shows that 23% of respondent institutions indicated having laboratories attaining level 1 basic biosafety, 33% had laboratories attaining level 2 basic biosafety and 25% had laboratories attaining the highest risk group 4 for maximum containment.

Institutions were also asked to indicate the laboratory facilities available for handling the highest risk group of infectious agents. Most of the laboratories, though not all, had sterilisation equipment, protective clothing and means for safe disposal of agents (Figure 1). However, these laboratories lacked other critical facilities such as personnel safety monitoring capacity, effluent treatment capability and ante-rooms with airlock and showers.

Figure 1.

Figure 1.

Percentage of health research institutions with biosafety supplies or facilities that handle the highest risk group of infectious agents, WHO African Region, 2009 (n = 239).

The survey identified a number of challenges affecting the institutions’ ability to function effectively, including financial constraints, human resource constraints and the inability to communicate with partners effectively (Figure 2). Financial constraints affecting laboratories were mainly those associated with the purchase and maintenance of laboratory equipment, the purchase of laboratory supplies and consumables, and operational costs. The main human resource obstacles were identified as having inadequate laboratory staff, compounded with the inability to attract and hire well-qualified laboratory staff. Other challenges included the inability to provide on-job training for staff and specimen transportation.

Figure 2.

Figure 2.

Main obstacles to the effective functioning of laboratories of health research institutions in the WHO African Region, 2009.

Discussion

The results presented in this paper provide an overview of the status of ICT facilities in health research institutions in the Region. We acknowledge the difficulty in making generalised conclusions based on the data presented here but argue that this paper identifies strengths and weakness in institutional infrastructure. By identifying these strengths and weaknesses, the paper highlights ‘problematic’ areas that require immediate policy intervention. The paper also provides sufficient preliminary findings that can provide a basis for future in-depth research on specific questions.

The analysis presented has a number of methodological and data limitations. The main limitation is the inability to conduct a robust comparative analysis of institutional facilities at the country level due to the lack of uniformity in the response rates and distribution of different respondent groups from each country. This is compounded by the fact that health research systems operate in contextual environments that are affected and influenced by different nation-specific factors.

The results show that a considerable proportion of health research institutions do not have basic access to ICT infrastructure, laboratories, libraries and library facilities. However, an important point that arises from this research is that the ICT connectivity problem in Africa is not just a question of ICT connectivity but also a question of the optimal use of ICT infrastructure for communication and accessing knowledge. The results are not surprising, as coverage for Internet use in the Region is low (16 per 100 inhabitants,5 with lower rates in rural areas, compared with the cities). The quality of connection is also not adequate; very few countries have fibre-optic or satellite broadband connections. The slow connectivity may also discourage use even in situations where Internet connections are available.

There is a dearth of health research libraries in the continent. Over half of the institutions that took part in this survey did not have libraries. The majority of the institutions that did have libraries reported having access to ICT tools, but only a few had online catalogues, subscriptions to online journals or even Internet links in the library, pointing to the poor use of ICT infrastructure in library services. Several initiatives have been implemented to give researchers free online access to the full text of health research papers published in journals. HINARI (Health InterNetwork Access to Research Initiative), a partnership led by WHO involving more than 150 publisher partners is one example (see http://www.who.int/hinari/about/en/).

Among other health services, laboratory services are essential components that must be improved in order to support disease or disorder management in the Region. Several assessments of laboratories in the Region have shown the need for infrastructural and technical capacity strengthening to support HIV/AIDS programmes. The 2007 assessment showed that most African governments were developing their national strategic plans and mobilising resources for laboratory services in both the private and public sectors. The availability of trained, skilled human resources was the main challenge to improving laboratory capacity.6

Laboratory services are essential to identify the agents involved in important public health events, including those which may cause epidemics and pandemics.7 Functional specimen transport systems, combined with strong laboratory biorisk management measures and laboratory quality systems should be in place if laboratories are to release results in a safe, secure, timely and reliable manner. This paper shows that most laboratories operate under severe financial constraints and thus lack the capacity to deal with high levels of risks (i.e. levels 3 and 4). The capability to handle risky agents must be strengthened and enhanced in laboratories in African institutions. Linkages and research collaboration are generally weak, particularly with other laboratories in the Region, and these links should be encouraged since geographically co-located regions tend to have similar health problems.

Conclusions

The study shows that health research institutions in the Region have insufficient access to essential facilities such as laboratories, libraries, computers and the Internet to generate, access and share information. Countries should ensure that adequate financial resources are mobilised and available to improve these facilities in health research institutions.

Declarations

Competing interests

None declared

Funding

WHO Regional Office for Africa

Ethical approval

Not applicable

Guarantor

DK

Contributorship

DK wrote the paper and carried out statistical analyses; CK, PEM, IS and WK reviewed the paper and assisted with fieldwork; PSLD reviewed the initial design of the study and provided support and overall leadership.

Acknowledgements

WHO Country Office focal persons for information, research and knowledge management are acknowledged for their contribution in coordinating the surveys in countries. Their counterparts in ministries of health are also acknowledged. These surveys would not have been possible without the active participation of the head of health research institutions and their department heads who have given their time and effort to fill out and send back the completed modules and questionnaires. We also acknowledge the contribution of the consultant who prepared the background material for this paper.

Provenance

Not commissioned; peer-reviewed by Bruce Currey

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