Informatics systems to promote improved care for chronic illness: a literature review
Open accessAbstract
OBJECTIVE: To understand information systems components important in supporting team-based care of chronic illness through a literature search. DESIGN: Systematic search of literature from 1996-2005 for evaluations of information systems used in the care of chronic illness. MEASUREMENTS: The relationship of design, quality, information systems components, setting, and other factors with process, quality outcomes, and health care costs was evaluated. RESULTS: In all, 109 articles were reviewed involving 112 information system descriptions. Chronic diseases targeted included diabetes (42.9% of reviewed articles), heart disease (36.6%), and mental illness (23.2%), among others. System users were primarily physicians, nurses, and patients. Sixty-seven percent of reviewed experiments had positive outcomes; 94% of uncontrolled, observational studies claimed positive results. Components closely correlated with positive experimental results were connection to an electronic medical record, computerized prompts, population management (including reports and feedback), specialized decision support, electronic scheduling, and personal health records. Barriers identified included costs, data privacy and security concerns, and failure to consider workflow. CONCLUSION The majority of published studies revealed a positive impact of specific health information technology components on chronic illness care. Implications for future research and system designs are discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
A meta-analysis would have been inappropriate because of significant heterogeneity among studies in sample characteristics, specific technologies studied, and functions of those technologies.
“As others who have reviewed health IT research have pointed out, a meta-analysis would have been inappropriate because of the significant heterogeneity among studies in terms of sample characteristics, specific technologies studied, and functions of those technologies [93, 94].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [94]
Cites
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,577 · see citing works
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623 · see citing works
The quality of health care delivered to adults in the United States
McGlynn, E. A., Asch, S. M., Adams, J., Keesey, J., Hicks, J., DeCristofaro, A., & Kerr, E. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa022615 · Cited by 5,079 · see citing works
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159 · see citing works
Improving the Quality of Reporting of Randomized Controlled Trials: The CONSORT Statement
Begg, C. (1996) · JAMA · doi:10.1001/jama.1996.03540080059030 · Cited by 3,127 · see citing works
The Journal of Family Practice
Geyman, J. P. (1997) · American Journal of Family Therapy · doi:10.1080/01926189708251066 · Cited by 3,088 · see citing works
Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., & Haynes, R. B. (2005) · JAMA · doi:10.1001/jama.293.10.1223 · Cited by 2,936 · see citing works
Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005) · BMJ · doi:10.1136/bmj.38398.500764.8f · Cited by 2,703 · see citing works
Prevalence, Expenditures, and Complications of Multiple Chronic Conditions in the Elderly
Wolff, J. L., Starfield, B. H., & Anderson, G. F. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.20.2269 · Cited by 2,237 · see citing works
Current methods of the U.S. Preventive Services Task Force
Harris, R., Helfand, M., Woolf, S. H., Lohr, K. N., Mulrow, C. D., Teutsch, S. M., & Atkins, D. C. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(01)00261-6 · Cited by 1,720 · see citing works
Hillestad, R., Bigelow, J., Bower, A., Girosi, F., Meili, R., Scoville, R., & Taylor, R. (2005) · Health Affairs · doi:10.1377/hlthaff.24.5.1103 · Cited by 1,675 · see citing works
Cha, M., Eastwaad, S., Hartan, R., Maher, D., Olkin, I., Pitkin, R., Rennie, D., Schulz, K. F., Simel, D. L., & Straup, D. F. (1996) · Cited by 736 · see citing works
Weingarten, S. R. (2002) · BMJ · doi:10.1136/bmj.325.7370.925 · Cited by 735 · see citing works
Lobach, D. F., & Hammond, W. E. (1997) · The American Journal of Medicine · doi:10.1016/s0002-9343(96)00382-8 · Cited by 303 · see citing works
Electronic Communication With Patients
Balas, E. A. (1997) · JAMA · doi:10.1001/jama.1997.03550020084043 · Cited by 277 · see citing works
Home telehealth reduces healthcare costs
Noel, H. C., Vogel, D. C., Erdos, J. J., Cornwall, D., & Levin, F. (2004) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2004.10.170 · Cited by 258 · see citing works
The Value Of Electronic Health Records In Solo Or Small Group Practices
Miller, R. H., West, C., Brown, T., Sim, I., & Ganchoff, C. (2005) · Health Affairs · doi:10.1377/hlthaff.24.5.1127 · Cited by 249 · see citing works
Disease Management Programs for Depression
Neumeyer‐Gromen, A., Lampert, T., Stark, K., & Kallischnigg, G. (2004) · Medical Care · doi:10.1097/00005650-200412000-00008 · Cited by 206 · see citing works
Demakis, J. G. (2000) · JAMA · doi:10.1001/jama.284.11.1411 · Cited by 206 · see citing works
Barriers to influenza immunization in a low-income urban population
Armstrong, K. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00263-4 · Cited by 204 · see citing works
An Internet-Based Patient-Provider Communication System: Randomized Controlled Trial
Lin, C., Wittevrongel, L., Moore, L. A., Beaty, B. L., & Ross, S. E. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.4.e47 · Cited by 199 · see citing works
A Controlled Trial of Web-Based Diabetes Disease Management
Meigs, J. B., Cagliero, E., Dubey, A. K., Murphy-Sheehy, P., Gildesgame, C., Chueh, H. C., Barry, M. J., Singer, D. E., & Nathan, D. M. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.750 · Cited by 197 · see citing works
The clinical value of computerized information services. A review of 98 randomized clinical trials
Balas, E. A. (1996) · Archives of Family Medicine · doi:10.1001/archfami.5.5.271 · Cited by 191 · see citing works
Interventions to Improve Chronic Illness Care: Evaluating Their Effectiveness
Bodenheimer, T. (2003) · Disease Management · doi:10.1089/109350703321908441 · Cited by 189 · see citing works
Telemedicine as a tool for intensive management of diabetes: the DIABTel experience
Aguilera, E. J. G., Hernando, M. E., García‐Olaya, Á., del Pozo, F., Cermeño, J., Corcoy, R., Brugués, E., & de Leiva, A. (2002) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(02)00039-1 · Cited by 160 · see citing works
Physician Satisfaction with Two Order Entry Systems
Murff, H. J., & Kannry, J. L. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080499 · Cited by 152 · see citing works
Bennett, J. W., & Glasziou, P. P. (2003) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2003.tb05166.x · Cited by 146 · see citing works
Clinical trials of interactive computerized patient education: implications for family practice.
Krishna, S., Balas, E. A., Spencer, D. C., Griffin, J. Z., & Boren, S. A. (1997) · PubMed · Cited by 141 · see citing works
Newly Reported Chronic Conditions and Onset of Functional Dependency
Wolff, J. L., Boult, C., Boyd, C. M., & Anderson, G. F. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53262.x · Cited by 138 · see citing works
Murray, M. D., Harris, L. E., Overhage, J. M., Zhou, X., Eckert, G. J., Smith, F. E., Buchanan, N. N., Wolinsky, F. D., McDonald, C. J., & Tierney, W. M. (2004) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1592/phco.24.4.324.33173 · Cited by 133 · see citing works
Weiner, M., Gress, T., Thiemann, D. R., Jenckes, M. W., Reel, S., Mandell, S. F., & Bass, E. B. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060234 · Cited by 112 · see citing works
Elske, A., & Nicolette, D. K. (2004) · Studies in health technology and informatics · doi:10.3233/978-1-60750-949-3-1289 · Cited by 97 · see citing works
McCowan, C. (2001) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230110067890 · Cited by 90 · see citing works
Practice variation: implications for our health care system.
Wennberg, J. E. (2004) · PubMed · Cited by 74 · see citing works
A Report Card on Quality Improvement for Children's Health Care
Ferris, T. G. G., Dougherty, D. M., Blumenthal, D., & Perrin, J. M. (2001) · PEDIATRICS · doi:10.1542/peds.107.1.143 · Cited by 69 · see citing works
Developing Effective Collaboration Between Primary Care and Mental Health Providers
Felker, B. L., Chaney, E. F., Rubenstein, L. V., Bonner, L. M., Yano, E. M., Parker, L. E., Worley, L. L. M., Sherman, S. E., & Ober, S. K. (2006) · The Primary Care Companion For CNS Disorders · doi:10.4088/pcc.v08n0102 · Cited by 56 · see citing works
Self-citationAmmenwerth, E., & de Keizer, N. F. (2005) · PubMed · Cited by 55 · see citing works
An Inventory of Evaluation Studies of Information Technology in Health Care
de Keizer, N. F., & Ammenwerth, E. (2005) · Methods of Information in Medicine · doi:10.1055/s-0038-1633922 · Cited by 54 · see citing works
Young, A. S., Mintz, J., Cohen, A. N., & Chinman, M. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1492 · Cited by 42 · see citing works
Self-citationEvaluation of KNAVE-II: a tool for intelligent query and exploration of patient data.
Martins, S. B., Shaḥar, Y., Galperin, M., et al. (2004) · PubMed · Cited by 28 · see citing works
Eccles, M., Hawthorne, G., Whitty, P., Steen, N., Vanoli, A., Grimshaw, J., & Wood, L. (2002) · BMC Health Services Research · doi:10.1186/1472-6963-2-5 · Cited by 23 · see citing works
Successful Replacement of Traditional Psychiatric Records With a Multi-User Computer System
Modai, I., Walevski, A., Mark, M., et al. (1991) · Medical Care · doi:10.1097/00005650-199110000-00011 · Cited by 8 · see citing works
International pharmaceutical expenditure differentials: why?
Dickson, M. (2004) · PubMed · Cited by 8 · see citing works
The effects and quality of IT evaluation studies: Trends in 1982 - 2002.
de Keizer, N. F., & Ammenwerth, E. (2005) · PubMed · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669 · see citing works
The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview
Black, A. D., Car, J., Pagliari, C., Anandan, C., Cresswell, K., Bokun, T., McKinstry, B., Procter, R., Majeed, A., & Sheikh, A. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1000387 · Cited by 1,442 · see citing works
Huang, L., Shea, A. L., Qian, H., Masurkar, A., Deng, H., & Liu, D. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103291 · Cited by 437 · see citing works
Lluch, M. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.09.005 · Cited by 358 · see citing works
Mining Electronic Health Records (EHRs): A Survey
Yadav, P., Steinbach, M., Kumar, V., & Simon, G. (2018) · ACM Computing Surveys · doi:10.1145/3127881 · Cited by 299 · see citing works
Dehling, T., Gao, F., Schneider, S., & Sunyaev, A. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3672 · Cited by 243 · see citing works
Cifuentes, M., Davis, M., Fernald, D., Gunn, R., Dickinson, P., & Cohen, D. J. (2015) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2015.s1.150133 · Cited by 164 · see citing works
Castillo, V. H., Martínez-García, A. I., & Pulido, J. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-60 · Cited by 155 · see citing works
The future of supported employment for people with severe mental illness
Drake, R. E., & Bond, G. R. (2008) · Psychiatric Rehabilitation Journal · doi:10.2975/31.4.2008.367.376 · Cited by 95 · see citing works
Interactive Behavior Change Technology to Support Diabetes Self-Management
Piette, J. D. (2007) · Diabetes Care · doi:10.2337/dc07-1046 · Cited by 90 · see citing works
Or, C. K. L., & Tao, D. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.01.009 · Cited by 76 · see citing works
Security Challenges and Success Factors of Electronic Healthcare System
Ghazvini, A., & Shukur, Z. (2013) · Procedia Technology · doi:10.1016/j.protcy.2013.12.183 · Cited by 72 · see citing works
Effects of Home Telemonitoring to Support Improved Care for Chronic Obstructive Pulmonary Diseases
Sicotte, C., Paré, G., Morin, S., Potvin, J., & Moreault, M.-P. (2011) · Telemedicine and e-Health · doi:10.1089/tmj.2010.0142 · Cited by 65 · see citing works
Implementing integrated mental health and substance abuse services
Drake, R. E., & Bond, G. R. (2010) · Journal of Dual Diagnosis · doi:10.1080/15504263.2010.540772 · Cited by 37 · see citing works
Ramirez, M., Wu, S., Ryan, G., Towfighi, A., & Vickrey, B. G. (2017) · JMIR Research Protocols · doi:10.2196/resprot.7106 · Cited by 9 · see citing works
- Authors
- Dorr, D., Bonner, L. M., Cohen, A. N., Shoai, R. S., Perrin, R., Chaney, E., & Young, A. S.
- Affiliations
- Oregon Health & Science University (US)
- Health Services Research & Development (US)
- Mental Illness Research, Education and Clinical Centers (US)
- University of California, Los Angeles (US)
- Corresponding author
- Dorr, D.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-03-01
- Volume
- 14
- Issue
- 2
- Pages
- 156-163
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC2213468
- OpenAlex
- W2151576062
- Cited by
- 257
- References
- 44
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 4 · 2020: 5 · 2019: 8 · 2018: 11 · 2017: 10 · 2016: 10 · 2015: 18 · 2014: 13 · 2013: 25 · 2012: 25
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. National Library of Medicine (K22 LM 8427-01, K22LM008427)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- health information systems, chronic care, team-based care, diabetes mellitus, heart disease, mental illness, electronic health records, clinical decision support, population management, personal health records, health care costs, data privacy and security, workflow integration
- MeSH terms
- Chronic Disease, Humans, Information Systems, Patient Care Team, Quality of Health Care, Multivariate Analysis, Medical Records Systems, Computerized, Health Care Costs
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
