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Assessment of Data Quality of and Staff Satisfaction with an Electronic Health Record System in a Developing Country (Uganda): A Qualitative and Quantitative Comparative Study
Abstract
Objectives To assess if electronic health record systems in developing countries can improve on timeliness, availability and accuracy of routine health reports and staff satisfaction after introducing the electronic system, compared to the paper-based alternative. Methods The research was conducted with hospital staff of Tororo District Hospital in Uganda. A comparative intervention study with qualitative and quantitative methods was used to compare the paper-based (pre-test) to the electronic system (post-test) focusing on accuracy, availability and timeliness of monthly routine reports about mothers visiting the hospital; and staff satisfaction with the electronic system as outcome measures. Results Timeliness: pre-test 13 of 19 months delivered to the district timely, delivery dates for six months could not be established; post-test 100%. Availability pre-test 79% of reports were present at the district health office; post-test 100%. Accuracy: pre-test 73.2% of selected reports could be independently confirmed as correct; post-test 71.2%. Difficulties were encountered in finding enough mothers through direct follow up to inquire on accuracy of information recorded about them. Staff interviews showed that the electronic system is appreciated by the majority of the hospital staff. Remaining obstacles include staff workload, power shortages, network breakdowns and parallel data entry (paper-based and electronic). Conclusion While timeliness and availability improved, improvem…
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In three of the four articles assessing currency, researchers reviewed whether desired data were entered into the EHR within a set time limit.
“In three of the four, researchers reviewed whether desired data were entered into the EHR within a set time limit.36 46 52”
From Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research (2013) · cites this paper as [36]
Citations
Cites
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,367
World development report 1993 : investing in health
Berkley, S., Bobadilla, J., Hecht, R., Hill, K., Jamison, D. T. T., Murray, C. J. L., Musgrove, P., Saxenian, H., & Tan, J. (1993) · Cited by 2,402
Networks of Action: Sustainable Health Information Systems Across Developing Countries1
Braa, J. A., Monteiro, & Sahay, S. (2004) · MIS Quarterly · doi:10.2307/25148643 · Cited by 560
Design and Implementation of Health Information Systems
Lippeveld, T., Sauerborn, R., & Bodart, C. (2000) · Medical Entomology and Zoology · Cited by 301
ICT in Health Care: Sociotechnical Approaches
Berg, M., Aarts, J., & van der Lei, J. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634221 · Cited by 261
Visions and strategies to improve evaluation of health information systems
Ammenwerth, E., Brender, J., Nykänen, P., Prokosch, H., Rigby, M., & Talmon, J. L. (2004) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2004.04.004 · Cited by 233
Chaulagai, C. N., Moyo, C., Koot, J. A. R., Moyo, H. B., Sambakunsi, T. C., Khunga, F. M., & Naphini, P. (2005) · Health Policy and Planning · doi:10.1093/heapol/czi044 · Cited by 188
Who's Got the Power? Transforming Health Systems for Women and Children
Hoover, C. V., Freedman, L. P., Waldman, R. J., de Pinho, H., Pinho, M. E., & Wirth, M. (2006) · Journal of Midwifery & Women s Health · doi:10.1016/j.jmwh.2005.11.004 · Cited by 163
Why Health Care Information Systems Succeed or FailPreprint
Heeks, R., Mundy, D., & Salazar, A. J. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3540062 · Cited by 136
Stausberg, J., Koch, D., Ingenerf, J., & Betzler, M. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1290 · Cited by 128
Factors influencing success and failure of health informatics systems--a pilot Delphi study.
Brender, J., Ammenwerth, E., Nykänen, P., & Talmon, J. L. (2006) · PubMed · Cited by 100
Implementing a new health management information system in Uganda
Gladwin, J. (2003) · Health Policy and Planning · doi:10.1093/heapol/czg026 · Cited by 94
Bad Health Informatics Can Kill – Is Evaluation the Answer?
Shaw, N. T., & Ammenwerth, E. (2005) · Methods of Information in Medicine · doi:10.1055/s-0038-1633915 · Cited by 82
Information systems for health sector monitoring in Papua New Guinea.
Cibulskis, R. E., & Hiawalyer, G. (2002) · Europe PMC (PubMed Central) · Cited by 53
Louisa, W., Norah, S., & Arthur, H. (2001) · Studies in Health Technology and Informatics · doi:10.3233/978-1-60750-928-8-773 · Cited by 48
Big is Beautiful: Electronic Patient Records in Large Norwegian Hospitals 1980s – 2001
Ellingsen, G., & Monteiro, E. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634231 · Cited by 45
Leveraging Information Technology Towards Enhancing Patient Care and a Culture of Safety in the U.S.
Garets, D. E., Handler, T., & Ball, M. J. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634376 · Cited by 33
DEVELOPMENT OF HMIS IN POOR COUNTRIES: UGANDA AS A CASE STUDY
Kintu, P., Nanyunja, M., Nzabanita, A., & Magoola, R. (2005) · Bioline International (Bioline International) · Cited by 29
Jones, M. R. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634238 · Cited by 27
Design and Introduction of an Electronic Patient Record: How to Involve Users?
Faber, M. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634232 · Cited by 21
Peterson, H. (2006) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638483 · Cited by 21
To decay is system: The challenges of keeping a health information system alive
Wetter, T. C. (2006) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.05.011 · Cited by 18
Self-citationEvaluation – The Cinderella Science of ICT in Health
Rigby, M. (2006) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638485 · Cited by 17
Two Patient Care Information Systems in the Same Hospital: Beyond Technical Aspects
Solen, I., Hasman, A., Troost, J., Tange, H. J., & van der Meijden, M. J. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634240 · Cited by 9
Implementation of Health Information Systems in Romania
Bazavan, M., Farcas, D. D., & Mihalas, G. I. (2006) · Methods of Information in Medicine · doi:10.1055/s-0038-1634048 · Cited by 8
Ammenwerth, E. (2006) · PubMed · Cited by 5
Quality measurement: problems and solutions
Stillger, R., & Misselwitz, B. (2001) · Der Gynäkologe · doi:10.1007/s001290050685 · Cited by 4
Flagged first, then by citations
1 of the 28 references couldn’t be matched to a known paper.
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Sorted by citations
Weiskopf, N. G., & Weng, C. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000681 · Cited by 1,216
“In three of the four, researchers reviewed whether desired data were entered into the EHR within a set time limit.(36) 46 52 In the fourth, researchers considered whether each type of data element was measured recently enough to be considered medically relevant.”
BackgroundAkhlaq, A., McKinstry, B., Muhammad, K. B., & Sheikh, A. (2016) · Health Policy and Planning · doi:10.1093/heapol/czw056 · Cited by 225
Lemma, S., Janson, A., Persson, L. Å., Wickremasinghe, D., & Källestål, C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239683 · Cited by 152
Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges.
Akanbi, M. O., Ocheke, A. N., Agaba, P. A., Daniyam, C. A., Agaba, E. I., Okeke, E. N., & Ukoli, C. O. (2012) · PubMed · Cited by 134
Nisingizwe, M. P., Iyer, H. S., Gashayija, M., Hirschhorn, L. R., Amoroso, C. L., Wilson, R., Rubyutsa, E., Gaju, E., Basinga, P., Muhire, A., et al. (2014) · Global Health Action · doi:10.3402/gha.v7.25829 · Cited by 85
Sukums, F. K., Mensah, N. K., Mpembeni, R. N. M., Massawe, S. N., Duysburgh, E., Williams, A., Kaltschmidt, J., Loukanova, S., Haefeli, W. E., & Blank, A. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.05.002 · Cited by 74
Common data quality elements for health information systems: a systematic review
Ghalavand, H., Shirshahi, S., Rahimi, A., Zarrinabadi, Z., & Amani, F. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02644-7 · Cited by 67
Maokola, W. M., Willey, B., Shirima, K., Chemba, M., Schellenberg, J., Mshinda, H., Alonso, P. L., Tanner, M., & Schellenberg, D. M. (2011) · Tropical Medicine & International Health · doi:10.1111/j.1365-3156.2011.02751.x · Cited by 59
Lee, J., Lynch, C. A., Hashiguchi, L. O., Snow, R. W., Herz, N. D., Webster, J., Parkhurst, J. O., & Erondu, N. A. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2020-004223 · Cited by 54
Mlambo, M. G., Peltzer, K., & Koivu, A. M. (2014) · Health SA Gesondheid · doi:10.4102/hsag.v19i1.774 · Cited by 52
An assessment of data quality in a multi-site electronic medical record system in Haiti
Puttkammer, N. H., Baseman, J. G., Devine, E. B., Valles, J. S., Hyppolite, N., Garilus, F. E., Honoré, J. G., Matheson, A. I., Zeliadt, S. B., Yuhas, K., et al. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.11.003 · Cited by 52
The Operational Research and Coaching for Analysts (ORCA)- participants & team, Adane, A., Adege, T. M., Ahmed, M. M., Anteneh, H. A., Ayalew, E. S., Berhanu, D., Berhanu, N., Getnet, M., Bishaw, T., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-050356 · Cited by 51
Matheson, A. I., Baseman, J. G., Wagner, S. H., O’Malley, G., Puttkammer, N. H., Emmanuel, E., Zamor, G., Frédéric, R., Coq, N. R. L., & Lober, W. B. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.01.011 · Cited by 51
Broughton, E. I., Ikram, A. N., & Sahak, I. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-002554 · Cited by 47
Lower Back Pain as an Occupational Hazard Among Ugandan Health Workers
Aleku, M., Nelson, K., Abio, A., Wilson, M. L., & Lule, H. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.761765 · Cited by 38
Millard, P. S., Bru, J., & Berger, C. A. (2012) · BMJ Open · doi:10.1136/bmjopen-2011-000690 · Cited by 36
Mitsunaga, T., Hedt‐Gauthier, B., Ngizwenayo, E., Farmer, D. B., Karamaga, A., Drobac, P. C., Basinga, P., Hirschhorn, L. R., Ngabo, F., & Mugeni, C. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.02.033 · Cited by 30
Hospital Information Systems User Needs Analysis: A Vendor Survey
Farzandipour, M., Sadoughi, F., & Meidani, Z. (2011) · Journal of health informatics in developing countries · Cited by 27
Lundin, R., Mariani, I., Peven, K., Day, L. T., & Lazzerini, M. (2022) · Journal of Global Health · doi:10.7189/jogh.12.04019 · Cited by 21
Muthee, V., Bochner, A. F., Kang’a, S., Owiso, G., Akhwale, W., Wanyee, S., & Puttkammer, N. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.10.019 · Cited by 18
The Reliability of Electronic Health Record Data Used for Obstetrical Research
Altman, M. R., Colorafi, K. J., & Daratha, K. B. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1627475 · Cited by 18
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Olamide, O., & Elegbede, A. W. (2015) · Cited by 17
Mitsunaga, T., Hedt‐Gauthier, B., Ngizwenayo, E., Farmer, D. B., Gaju, E., Drobac, P. C., Basinga, P., Hirschhorn, L. R., Rich, M., WINCH, P. J., et al. (2014) · Journal of Community Health · doi:10.1007/s10900-014-9977-9 · Cited by 14
Value of the Electronic Medical Record for Hospital Care: A Review of the Literature
Uslu, A., & Stausberg, J. (2011) · Journal of Healthcare Engineering · doi:10.1260/2040-2295.2.3.271 · Cited by 12
Health-oriented electronic oral health record: Development and evaluation
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Odeny, B., Njoroge, A., Gloyd, S., Hughes, J. P., Wagenaar, B. H., Odhiambo, J. O., Nyagah, L. M., Manya, A. S., Oghera, O. W., & Puttkammer, N. H. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-10133-2 · Cited by 9
Karmacharya, B. M., Das, S., Shrestha, A., Shrestha, A., Karki, S., Shakya, R., Radovich, E., Penn‐Kekana, L., Calvert, C., Campell, O. M. R., et al. (2025) · Global Health Science and Practice · doi:10.9745/ghsp-d-23-00370 · Cited by 7
Options for Diabetes Management in Sub-Saharan Africa with an Electronic Medical Record System
Tchuitcheu, G. K., & Rienhoff, O. (2009) · Methods of Information in Medicine · doi:10.3414/me09-01-0021 · Cited by 7
Puttkammer, N. H., Pettersen, K., Hyppolite, N., France, G., Valles, J. S., Honoré, J. G., & Barnhart, S. (2016) · Health Policy and Technology · doi:10.1016/j.hlpt.2016.11.006 · Cited by 6
Design and Development of E-Care Management System for Hospitals
Yalawar, M. S., Dhanne, B. S., Ranjan, R., & Satyanarayana, T. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-1513-8_56 · Cited by 5
Fetaji, M., & Fetaji, B. (2018) · Mediterranean Conference on Embedded Computing (MECO) · doi:10.1109/meco.2018.8405979 · Cited by 4
Adequacy and quality of immunization data in a comprehensive electronic health record system.
Keny, A., Biondich, P., Grannis, S. J., & Were, M. C. (2013) · Journal of Health Informatics · doi:10.12856/jhia-2013-v1-i1-40 · Cited by 3
Information Distortion in Electronic Health Records: A Concept Analysis
Wang, J., Xu, Y., Zhang, R., Yang, Z., Zhang, X., & Pan, H. (2025) · Journal of Advanced Nursing · doi:10.1111/jan.70233 · Cited by 3
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Okello, G. A. (2017) · Open Research Online (The Open University) · doi:10.21954/ou.ro.0000ce33 · Cited by 3
Mugisha, M., Umubyeyi, A., Ngenzi, J. L., Richards, J., Santas, X., Condo, J. U., & Fraser, H. (2023) · JMIR Human Factors · doi:10.2196/53895 · Cited by 2
Mashamaite, S. (2011) · Unisa Institutional Repository (University of South Africa) · Cited by 1
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Mitsunaga, T. (2014) · Cited by 1
Kawale, P. (2018) · ERA · Cited by 1
Jean-Baptiste, M. C., Julmiste, T. M. V., & Ball, E. (2024) · JMIR Formative Research · doi:10.2196/55000
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Metadata
- Authors
- Ndira, S. P., Rosenberger, K. D., & Wetter, T.
- Affiliations
- Heidelberg University (DE)
- Corresponding author
- Wetter, T.
- Venue
- Methods of Information in Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2008
- Volume
- 47
- Issue
- 06
- Pages
- 489-498
- ISSN
- 0026-1270 (ISSN-L)
- 2511-705X
- OpenAlex
- W2064046338
- Cited by
- 40
- References
- 28
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 1 · 2018: 3 · 2017: 2 · 2016: 2 · 2015: 3 · 2014: 4 · 2013: 4 · 2012: 4
- FWCI
- 3.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Methods of Information in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- electronic health records, data quality, staff satisfaction, paper records, timeliness, data accuracy, developing countries, hospital information systems
- MeSH terms
- Developing Countries, Humans, Information Systems, Job Satisfaction, Quality of Health Care, Research Design, Uganda, Medical Records Systems, Computerized, Access to Information, Qualitative Research
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