| Title |
Management and control of multidrug-resistant tuberculosis (MDR-TB): Addressing policy needs for India
|
|---|---|
| Published in |
Journal of Public Health Policy, August 2016
|
| DOI | 10.1057/jphp.2016.14 |
| Pubmed ID | |
| Authors |
Sachin R Atre, Megan B Murray |
| Abstract |
Multidrug-resistant tuberculosis (MDR-TB) challenges TB control efforts because of delays in diagnosis plus its long-term treatment which has toxic effects. Of TB high-incidence countries, India carries the highest burden of MDR-TB cases. We describe policy issues in India concerning MDR-TB diagnosis and management in a careful review of the literature including a systematic review of studies on the prevalence of MDR-TB. Of 995 articles published during 2001-2016 and retrieved from the PubMed, only 20 provided data on the population prevalence of MDR-TB. We further reviewed and describe diagnostic criteria and treatment algorithms in use and endorsed by the Revised National TB Control Program of India. We discuss problems encountered in treating MDR-TB patients with standardized regimens. Finally, we provide realistic suggestions for policymakers and program planners to improve the management and control of MDR-TB in India.Journal of Public Health Policy advance online publication, 6 May 2016; doi:10.1057/jphp.2016.14. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 26% |
| Nursing and Health Professions | 6 | 11% |
| Immunology and Microbiology | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2017.
All research outputs
#13,468,145
of 22,869,263 outputs
Outputs from Journal of Public Health Policy
#608
of 782 outputs
Outputs of similar age
#200,518
of 366,317 outputs
Outputs of similar age from Journal of Public Health Policy
#8
of 12 outputs
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.