Cited by 88ICT in Developing CommunitiesElectronic Health Records SystemsDigital literacy in education

Health workers’ knowledge of and attitudes towards computer applications in rural African health facilities

Open access
Sukums, Felix, Mensah, Nathan, Mpembeni, Rose, Kaltschmidt, Jens, Haefeli, Walter E., Blank, Antje·2014·Global Health Action

Abstract

BACKGROUND: The QUALMAT (Quality of Maternal and Prenatal Care: Bridging the Know-do Gap) project has introduced an electronic clinical decision support system (CDSS) for pre-natal and maternal care services in rural primary health facilities in Burkina Faso, Ghana, and Tanzania. OBJECTIVE: To report an assessment of health providers' computer knowledge, experience, and attitudes prior to the implementation of the QUALMAT electronic CDSS. DESIGN: A cross-sectional study was conducted with providers in 24 QUALMAT project sites. Information was collected using structured questionnaires. Chi-squared tests and one-way ANOVA describe the association between computer knowledge, attitudes, and other factors. Semi-structured interviews and focus groups were conducted to gain further insights. RESULTS: A total of 108 providers responded, 63% were from Tanzania and 37% from Ghana. The mean age was 37.6 years, and 79% were female. Only 40% had ever used computers, and 29% had prior computer training. About 80% were computer illiterate or beginners. Educational level, age, and years of work experience were significantly associated with computer knowledge (p<0.01). Most (95.3%) had positive attitudes towards computers - average score (±SD) of 37.2 (±4.9). Females had significantly lower scores than males. Interviews and group discussions showed that although most were lacking computer knowledge and experience, they were optimistic about overcoming challenges associated with the introduction of computers in their workplace. CONCLUSIONS: Given the low levels of computer knowledge among rural health workers in Africa, it is important to provide adequate training and support to ensure the successful uptake of electronic CDSSs in these settings. The positive attitudes to computers found in this study underscore that also rural care providers are ready to use such technology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3402/gha.v7.24534

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 32

  1. [1]Bates DW Gawande AA Improving safety with information technology N Engl J Med 2003 348 2526 34 12815139
  2. [2]Chaudhry B Wang J Wu S Maglione M Mojica W Roth E Systematic review: impact of health information technology on quality, efficiency, and costs of medical care Ann Intern Med 2006 144 742 52 16702590
  3. [3]Kawamoto K Houlihan CA Balas EA Lobach DF Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success Brit Med J 2005 330 765 15767266 PMC555881
  4. [4]Tomasi E Facchini LA Maia MF Health information technology in primary health care in developing countries: a literature review Bull World Health Organ 2004 82 867 74 15640923 PMC2623061
  5. [5]Bates DW Cohen M Leape LL Overhage JM Shabot MM Sheridan T Reducing the frequency of errors in medicine using information technology J Am Med Inform Assoc 2001 8 299 308 11418536 PMC130074
  6. [6]Bright TJ Wong A Dhurjati R Bristow E Bastian L Coeytaux RR Effect of clinical decision-support systems: a systematic review Ann Intern Med 2012 157 29 43 22751758
  7. [7]Garg AX Adhikari NK McDonald H Rosas-Arellano MP Devereaux PJ Beyene J Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review J Am Med Assoc 2005 293 1223 38 15755945
  8. [8]Kaushal R Shojania KG Bates DW Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review Arch Intern Med 2003 163 1409 16 12824090
  9. [9]Asah F Computer usage among nurses in rural health-care facilities in South Africa: obstacles and challenges J Nurs Manag 2011 21 499 510 23409780
  10. [10]Peters DH Kohli M Mascarenhas M Rao K Can computers improve patient care by primary health care workers in India? Int J Qual Health Care 2006 18 437 45 17041232
  11. [11]Huryk LA Factors influencing nurses’ attitudes towards healthcare information technology J Nurs Manag 2010 18 606 12 20636510
  12. [13]Stronge JH Brodt A Assessment of nurses’ attitudes toward computerization Comput Nurs 1985 3 154 8 3848346
  13. [14]Trivedi MH Kern JK Marcee A Grannemann B Kleiber B Bettinger T Development and implementation of computerized clinical guidelines: barriers and solutions Methods Inf Med 2002 41 435 42 12501817
  14. [15]Raja EE Mahal R Masih VB An exploratory study to assess the computer knowledge, attitude and skill among nurses in health care setting of a selected hospital in Ludhiana, Punjab, India Stud Health Technol Inform 2004 107 1304 7 15361025
  15. [16]Sicotte C Pare G Moreault MP Lemay A Valiquette L Barkun J Replacing an inpatient electronic medical record. Lessons learned from user satisfaction with the former system Methods Inf Med 2009 48 92 100 19151889
  16. [17]Kamadjeu RM Tapang EM Moluh RN Designing and implementing an electronic health record system in primary care practice in sub-Saharan Africa: a case study from Cameroon Inform Prim Care 2005 13 179 86 16259857
  17. [18]Moody LE Slocumb E Berg B Jackson D Electronic health records documentation in nursing: nurses’ perceptions, attitudes, and preferences Comput Inform Nurs 2004 22 337 44 15602303
  18. [19]Trivedi MH Daly EJ Kern JK Grannemann BD Sunderajan P Claassen CA Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in “real world” clinical settings BMC Med Inform Decis Mak 2009 9 6 19159458 PMC2639574
  19. [20]Brumini G Kovic I Zombori D Lulic I Petrovecki M Nurses’ attitudes towards computers: cross sectional questionnaire study Croat Med J 2005 46 101 4 15726683
  20. [21]Littlejohns P Wyatt JC Garvican L Evaluating computerised health information systems: hard lessons still to be learnt Brit Med J 2003 326 860 3 12702622 PMC153476
  21. [22]Clifford GD Blaya JA Hall-Clifford R Fraser HS Medical information systems: a foundation for healthcare technologies in developing countries Biomed Eng Online 2008 7 18 18547411 PMC2447839
  22. [23]Courtney KL Alexander GL Demiris G Information technology from novice to expert: implementation implications J Nurs Manag 2008 16 692 9 18808463 PMC4389627
  23. [25]Toth-Pal E Wardh I Strender LE Nilsson G Implementing a clinical decision-support system in practice: a qualitative analysis of influencing attitudes and characteristics among general practitioners Inform Health Soc Care 2008 33 39 54 18604761
  24. [26]Ward R Stevens C Brentnall P Briddon J The attitudes of health care staff to information technology: a comprehensive review of the research literature Health Info Libr J 2008 25 81 97 18494643
  25. [29]Blank A Prytherch H Kaltschmidt J Krings A Sukums F Mensah N “Quality of prenatal and maternal care: bridging the know-do gap” (QUALMAT study): an electronic clinical decision support system for rural Sub-Saharan Africa BMC Med Inform Decis Mak 2013 13 44 23574764 PMC3637082
  26. [31]Alquraini H Alhashem AM Shah MA Chowdhury RI Factors influencing nurses’ attitudes towards the use of computerized health information systems in Kuwaiti hospitals J Adv Nurs 2007 57 375 81 17291201
  27. [33]Mohammed E Andargie G Meseret S Girma E Knowledge and utilization of computer among health workers in Addis Ababa hospitals, Ethiopia: computer literacy in the health sector BMC Res Notes 2013 6 106 23514191 PMC3610130
  28. [35]Kaya N Factors affecting nurses’ attitudes toward computers in healthcare Comput Inform Nurs 2011 29 121 9 20975539
  29. [38]Fossum M Ehnfors M Fruhling A Ehrenberg A An evaluation of the usability of a computerized decision support system for nursing homes Appl Clin Inform 2011 2 420 36 23616886 PMC3613005
  30. [39]Bello IS Arogundade FA Sanusi AA Ezeoma IT Abioye-Kuteyi EA Akinsola A Knowledge and utilization of information technology among health care professionals and students in Ile-Ife, Nigeria: a case study of a university teaching hospital J Med Internet Res 2004 6 e45 15631969 PMC1550621
  31. [44]Ammenwerth E Mansmann U Iller C Eichstadter R Factors affecting and affected by user acceptance of computer-based nursing documentation: results of a two-year study J Am Med Inform Assoc 2003 10 69 84 12509358 PMC150360
  32. [45]Murff HJ Kannry J Physician satisfaction with two order entry systems J Am Med Inform Assoc 2001 8 499 509 11522770 PMC131047

Cited by

Sorted by citations

Authors
Sukums, F., Mensah, N., Mpembeni, R., Kaltschmidt, J., Haefeli, W. E., & Blank, A.
Affiliations
  • Muhimbili University of Health and Allied Sciences (TZ)
  • University Hospital Heidelberg (DE)
Corresponding author
Blank, Antje
Venue
Global Health Action
Published
2014-10-27
Volume
7
Issue
1
Pages
24534-24534
ISSN
  • 1654-9716 (ISSN-L)
  • 1654-9880
OpenAlex
W2159011937
Cited by
88
References
5
Citations by year
2026: 2 · 2025: 2 · 2024: 10 · 2023: 8 · 2022: 18 · 2021: 7 · 2020: 10 · 2019: 6 · 2018: 7 · 2017: 4 · 2016: 4 · 2015: 9 · 2014: 1
FWCI
16.64
Type
journal article
Language
en
Open access
Locations
  • Global Health Action (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › Digital literacy in education
Keywords
attitudes toward computers, rural health facilities, computer literacy, health information technology adoption, gender differences in technology use, primary care
MeSH terms
Adult, Attitude of Health Personnel, Attitude to Computers, Burkina Faso, Cross-Sectional Studies, Female, Ghana, Humans, Interviews as Topic, Male, Maternal Health Services, Surveys and Questionnaires, Rural Population, Tanzania, Focus Groups, Rural Health Services, Decision Support Systems, Clinical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review