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X Demographics
Mendeley readers
| Title |
SMS reminders to improve the tuberculosis cure rate in developing countries (TB-SMS Cameroon): a protocol of a randomised control study
|
|---|---|
| Published in |
Trials, January 2014
|
| DOI | 10.1186/1745-6215-15-35 |
| Pubmed ID | |
| Authors |
Georges Bediang, Beat Stoll, Nadia Elia, Jean-Louis Abena, Désiré Nolna, Philippe Chastonay, Antoine Geissbuhler |
| Abstract |
Tuberculosis is a public health problem in Cameroon, just like in many other countries in the world. The National Tuberculosis Control Programme (PNLT) put in place by the state, aims to fight tuberculosis through the implementation of international directives (Directly Observed Treatment Short, DOTS). Despite the deployment of this strategy across the world, its implementation is difficult in the context of low-resource countries. Some expected results are not achieved. In Cameroon, the cure rate for patients with sputum positive pulmonary tuberculosis (TPM+) after 6 months is only about 65%, 20% below the target. This is mainly due to poor patient adherence to treatment. By relying on the potential of mobile Health, the objective of this study is to evaluate the effect of SMS reminders on the cure rate of TPM + patients, measured using 6-month bacilloscopy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 313 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 54 | 17% |
| Researcher | 45 | 14% |
| Student > Ph. D. Student | 28 | 9% |
| Student > Postgraduate | 23 | 7% |
| Student > Bachelor | 23 | 7% |
| Other | 75 | 23% |
| Unknown | 74 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 93 | 29% |
| Nursing and Health Professions | 45 | 14% |
| Social Sciences | 19 | 6% |
| Computer Science | 16 | 5% |
| Agricultural and Biological Sciences | 13 | 4% |
| Other | 45 | 14% |
| Unknown | 91 | 28% |