| Literature DB >> 26945749 |
Hannock Tweya1,2,3, Caryl Feldacker4,5, Oliver Jintha Gadabu6, Wingston Ng'ambi7, Soyapi L Mumba8,9, Dave Phiri10, Luke Kamvazina11, Shawo Mwakilama12, Henry Kanyerere13, Olivia Keiser14, Johnbosco Mwafilaso15, Chancy Kamba16, Matthias Egger17, Andreas Jahn18,19, Bertha Simwaka20, Sam Phiri21.
Abstract
BACKGROUND: Implementation of user-friendly, real-time, electronic medical records for patient management may lead to improved adherence to clinical guidelines and improved quality of patient care. We detail the systematic, iterative process that implementation partners, Lighthouse clinic and Baobab Health Trust, employed to develop and implement a point-of-care electronic medical records system in an integrated, public clinic in Malawi that serves HIV-infected and tuberculosis (TB) patients.Entities:
Mesh:
Year: 2016 PMID: 26945749 PMCID: PMC4779573 DOI: 10.1186/s13104-016-1943-4
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1a Work station for TB/ART Electronic Medical Record system at at Martin Preuss centre in Lilongwe, Malawi. b Stickers for unique patient id and filing number for the TB/ART Electronic Medical Record system at Martin Preuss centre in Lilongwe, Malawi
Fig. 2A dashboard for the TB/ART Electronic Medical Record system at at Martin Preuss centre in Lilongwe, Malawi
Fig. 3Drugs dispensing screen for the TB/ART Electronic Medical Record system at Martin Preuss centre in Lilongwe, Malawi
Fig. 4A screen for clinic appointment in a calender format for the TB/ART Electronic Medical Record system at Martin Preuss centre in Lilongwe, Malawiβ
Fig. 5Duplicate visit summary stickers for the TB/ART Electronic Medical Record system at Martin Preuss centre in Lilongwe, Malawiβ
Characteristics of TB Suspects and TB patients registered in the TB ART system between April and July 2013 at Martin Preuss Centre
| Key programmatic indicators | N | % | |
|---|---|---|---|
| TB suspects | |||
| 1.a | Total TB Suspects registered | 369 | |
| 1.b | TB Suspects with known HIV Status | 331 | 90 |
| 1.c | TB Suspects with known HIV positive | 177 | 53 |
| 1.d | TB Suspects tested before registration | 134 | 40 |
| 2.a | TB Suspects, sputum samples ordered | 361 | 98 |
| 2.b | TB Suspects, sputum samples submitted | 100 | 28 |
| 2.c | TB Suspects, sputum samples results | 96 | 96 |
| 2.d | TB Suspects, sputum samples positive | 18 | 19 |
| 2.e | TB Suspect, culture ordered | 1 | 0 |
| TB registration | |||
| 3.a | Total TB patients registered | 418 | |
| 3.b | TB patients with known HIV status | 406 | 97 |
| 3.c | TB patients with known HIV positive | 269 | 66 |
| Gender | |||
| 4.a | Female | 149 | 36 |
| 4.b | Male | 269 | 64 |
| Age at registration | |||
| 5.a | TB patients 0–4 years at registration | 4 | 1 |
| 5.b | TB patients 5–14 years at registration | 17 | 4 |
| 5.c | TB patients 15 years or older at registration | 397 | 95 |
| TB category | |||
| 6.a | New Cases | 381 | 91 |
| 6.b | Relapse | 13 | 3 |
| 6.c | Retreatment After Default | 1 | 0 |
| 6.d | Failure | 1 | 0 |
| 6.e | Other | 22 | 5 |
| TB classification | |||
| 7.a | Pulmonary | 320 | 77 |
| 7.b | Extra-pulmonary | 98 | 23 |
| DOT option | |||
| 8.a | Guardian | 406 | 97 |
| 8.b | Hospital | 9 | 2 |
| 8.c | HC | 3 | 1 |
| ARV status | |||
| 9.a | Before TB treatment | 129 | 48 |
| 9.b | While on TB treatment | 106 | 39 |
| 9.c | Not on ART during TBa | 34 | 13 |
a Some HIV/TB patients are still on TB treatment