| Literature DB >> 27756307 |
Sumadhya Deepika Fernando1, Priyani Dharmawardana2, Geethanee Epasinghe3, Niroshana Senanayake3, Chaturaka Rodrigo4, Risintha Premaratne2, Rajitha Wickremasinghe5.
Abstract
BACKGROUND: Sri Lanka is currently in the prevention of re-introduction phase of malaria. The engagement of the private sector health care institutions in malaria surveillance is important. The purpose of the study was to determine the number of diagnostic tests carried out, the number of positive cases identified and the referral system for diagnosis in the private sector and to estimate the costs involved.Entities:
Mesh:
Year: 2016 PMID: 27756307 PMCID: PMC5069984 DOI: 10.1186/s12936-016-1570-5
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Description of private sector laboratories in Colombo District
| Laboratory | Number (%) |
|---|---|
| Total Laboratories registered in the Colombo District | 205 (100.0) |
| Specialized Units | 6 (2.3) |
| Laboratories referring blood smears to larger centres | 72 (35.1) |
| Labs which do not do testing for malaria | 25 (12.2) |
| Closed Laboratories | 46 (22.4) |
| Laboratories meeting inclusion criteria | 41 (20) |
| Labs which sent data continuously | 28 |
| Private hospitals | 13 |
| Private stand alone laboratories | 12 |
| Other Laboratories | 3 |
| Labs which failed to send information | 13 |
Number of diagnostic tests carried out for malaria from March to August 2015 in private sector institutions
| Private sector institutions (n-15) | Diagnostic method | |
|---|---|---|
| Microscopy | Rapid diagnostic testing (RDT) | |
| Hospitals (n-10) | 2046 | 88 |
| Stand alone diagnostic laboratories (n-2) | 14 | |
| Other laboratories (n-3)a | 12,813 | |
| Total | 14,873 | 88 |
aAccredited laboratories conducting malaria diagnostics as a part of routine medical examinations for employment and travel purposes
Age and sex distribution of persons in whom malaria diagnosis was requested (n = 2148)
| Characteristic | Number (%) |
|---|---|
| Age | |
| <12 | 29 (2.5) |
| 13–20 | 125 (10.7) |
| 21–30 | 459 (39.6) |
| 31–40 | 271 (23.3) |
| 41–50 | 161 (13.9) |
| 51–60 | 78 (6.7) |
| >60 | 37 (3.9) |
| Gender | |
| Male | 973 (82.7) |
| Female | 201 (17.2) |