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1.
BMC Med Inform Decis Mak ; 6: 21, 2006 Apr 10.
Article in English | MEDLINE | ID: mdl-16606466

ABSTRACT

BACKGROUND: Clinical research can be facilitated by the use of informatics tools. We used an existing electronic medical record (EMR) system and personal data assistants (PDAs) to assess the characteristics and outcomes of patients with acute respiratory illnesses (ARIs) visiting a Kenyan rural health center. METHODS: We modified the existing EMR to include details on patients with ARIs. The EMR database was then used to identify patients with ARIs who were prospectively followed up by a research assistant who rode a bicycle to patients' homes and entered data into a PDA. RESULTS: A total of 2986 clinic visits for 2009 adult patients with respiratory infections were registered in the database between August 2002 and January 2005; 433 patients were selected for outcome assessments. These patients were followed up in the villages and assessed at 7 and 30 days later. Complete follow-up data were obtained on 381 patients (88%) and merged with data from the enrollment visit's electronic medical records and subsequent health center visits to assess duration of illness and complications. Symptoms improved at 7 and 30 days, but a substantial minority of patients had persistent symptoms. Eleven percent of patients sought additional care for their respiratory infection. CONCLUSION: EMRs and PDA are useful tools for performing prospective clinical research in resource constrained developing countries.


Subject(s)
Ambulatory Care Information Systems/statistics & numerical data , Community Health Centers/standards , Computers, Handheld/statistics & numerical data , Medical Records Systems, Computerized/statistics & numerical data , Outcome Assessment, Health Care/methods , Respiratory Tract Infections/therapy , Rural Health Services/standards , Acute Disease , Adult , Aftercare , Developing Countries , Follow-Up Studies , Humans , Kenya , Middle Aged , Quality Assurance, Health Care/methods , Respiratory Tract Infections/diagnosis , Surveys and Questionnaires , Time Factors
2.
J Am Med Inform Assoc ; 10(4): 295-303, 2003.
Article in English | MEDLINE | ID: mdl-12668697

ABSTRACT

The authors implemented an electronic medical record system in a rural Kenyan health center. Visit data are recorded on a paper encounter form, eliminating duplicate documentation in multiple clinic logbooks. Data are entered into an MS-Access database supported by redundant power systems. The system was initiated in February 2001, and 10,000 visit records were entered for 6,190 patients in six months. The authors present a summary of the clinics visited, diagnoses made, drugs prescribed, and tests performed. After system implementation, patient visits were 22% shorter. They spent 58% less time with providers (p < 0.001) and 38% less time waiting (p = 0.06). Clinic personnel spent 50% less time interacting with patients, two thirds less time interacting with each other, and more time in personal activities. This simple electronic medical record system has bridged the "digital divide." Financial and technical sustainability by Kenyans will be key to its future use and development.


Subject(s)
Medical Records Systems, Computerized/organization & administration , Primary Health Care/organization & administration , Delivery of Health Care/organization & administration , Humans , Kenya , Medical Records Systems, Computerized/instrumentation , Office Visits , Rural Health Services/organization & administration , Time and Motion Studies , User-Computer Interface
3.
Proc AMIA Symp ; : 792-5, 2002.
Article in English | MEDLINE | ID: mdl-12463933

ABSTRACT

To improve care, one must measure it. In the US, electronic medical record systems have been installed in many institutions to support health care management, quality improvement, and research. Developing countries lack such systems and thus have difficulties managing scarce resources and investigating means of improving health care delivery and outcomes. We describe the implementation and use of the first documented electronic medical record system in ambulatory care in sub-Saharan Africa. After one year, it has captured data for more than 13,000 patients making more than 26,000 visits. We present lessons learned and modifications made to this system to improve its capture of data and ability to support a comprehensive clinical care and research agenda.


Subject(s)
Medical Records Systems, Computerized , Rural Health Services , Ambulatory Care , Humans , Kenya , Patient Care Management
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