A computer-based medical record system and personal digital assistants to assess and follow patients with respiratory tract infections visiting a rural Kenyan health centre

Author:

Diero Lameck,Rotich Joseph K,Bii John,Mamlin Burke W,Einterz Robert M,Kalamai Irene Z,Tierney William M

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference20 articles.

1. Hannan TJ, Rotich JK, Odero WW, Menya D, Esamai F, Einterz RM, Sidle JE, Sidle J, Tierney WM: The Mosoriot medical record system: design and initial implementation of an outpatient electronic record system in rural Kenya. Int J Med Inform. 2000, 60: 21-8. 10.1016/S1386-5056(00)00068-X.

2. Hannan TJ, Tierney WM, Rotich JK, Odero WW, Smith F, Mamlin JJ, Einterz RM: The MOSORIOT medical record system (MMRS) phase I to phase II implementation: an outpatient computer based medical record system in rural Kenya. Medinfo. 2001, 10 (pt 1): 619-22.

3. Rotich JK, Hannan TJ, Smith Fe, Odero WW, Vu N, Mamlin BW, Mamlin JJ, Einterz RM, Tierney WM: Installing and implementing a computer-based patient record system in sub-Saharan Africa: The Mosoriot Medical Record System. J Am Med Inform Assoc. 2003, 10: 295-303. 10.1197/jamia.M1301.

4. Wafula EM: Acute respiratory Infections. East Afr Med. 1995, 72: 617-8.

5. National mortality figures Republic of Kenya. Nairobi: Kenyan Ministry of Health. 1990

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