| Literature DB >> 27911959 |
Sadika Akhter1,2, Iqbal Anwar1, Rashida Akter1, Feroza Akhter Kumkum1, Monjura Khatun Nisha3, Fatema Ashraf4, Ferdousi Islam5, Nazneen Begum5, Mahbub Elahi Chowdhury1, Anne Austin6, Syed Shariful Islam7, Aminur Rahman1,8.
Abstract
BACKGROUND AND OBJECTIVES: In Bangladesh, postpartum hemorrhage (PPH) is the leading cause of maternal mortality accounting for 31% of all blood transfusions in the country. Although safe blood transfusion is one of the 8 signal functions of Comprehensive Emergency Obstetric Care (CEmOC) strategy, most of the designated public sector CEmOC facilities do not have on-site blood storage system. Emergent blood is mainly available from external blood banks. As a result, emergent patients are to rely on an unregulated network of brokers for blood which may raise question about blood safety. This study explored lived experiences of patients' attendants, managers, providers, and blood brokers before and after the implementation of an on-line Blood Information and Management Application (BIMA) in regards to barriers and facilitators of blood transfusion for emergent patients.Entities:
Mesh:
Year: 2016 PMID: 27911959 PMCID: PMC5135104 DOI: 10.1371/journal.pone.0167399
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Detail sampling frame
Summary of sample size
| Study participants | Sample size Baseline assessment | Sample size end line assessment |
|---|---|---|
| KII with hospital director, professor cum managers | 07 | 01 |
| KII with associate professor and assistant professor | 02 | 03 |
| KII with healthcare providers, nurses and blood broker | 04 | 03 |
| KII with blood bank executive, technologists | 01 | 04 |
| IDI with patient relatives | 20 | 20 |
| Total | 34 | 30 |
| Grand total | 64 | |
Socio demographic information of key informants
| Socio–demographic status of the KII | Base line assessment | End line assessment | Total |
|---|---|---|---|
| Age | |||
| Below 30 years | 02 | 02 | 04 |
| 30 or above | 12 | 08 | 20 |
| Total | 14 | 10 | 24 |
| Sex | |||
| Male | 03 | 05 | 08 |
| Female | 11 | 05 | 16 |
| Total | 14 | 10 | 24 |
| Religion | |||
| Muslim | 14 | 09 | 23 |
| Hindu | 00 | 01 | 01 |
| Total | 14 | 10 | 24 |
| Education | |||
| No formal education | 01 | 00 | 01 |
| Class 1 to 4 | 00 | 00 | 00 |
| Class 10 and above | 03 | 05 | 08 |
| MBBS and above | 10 | 05 | 15 |
| Total | 14 | 10 | 24 |
| Designation | |||
| Director | 01 | 00 | 01 |
| Professor | 02 | 00 | 02 |
| Associate professor | 03 | 01 | 04 |
| Assistant professor | 00 | 02 | 02 |
| Doctors | 04 | 00 | 04 |
| Assistant register | 00 | 01 | 01 |
| Nurse | 02 | 01 | 03 |
| Unlicensed blood broker | 01 | 01 | 02 |
| Medical technologist | 01 | 00 | 01 |
| Private Blood bank employee | 00 | 01 | 01 |
| Total | 14 | 10 | 24 |
Socio-demographic information of IDI respondents
| Socio-demographic status of IDI | Base line assessment | End line assessment | Total |
|---|---|---|---|
| Age | |||
| Below 30 years | 04 | 05 | 09 |
| 30 or above | 16 | 15 | 31 |
| Total | 20 | 20 | 40 |
| Sex | |||
| Male | 19 | 16 | 35 |
| Female | 01 | 04 | 05 |
| Total | 20 | 20 | 40 |
| Religion | |||
| Muslim | 19 | 20 | 39 |
| Hindu | 01 | 00 | 01 |
| Total | 20 | 20 | 40 |
| Education | |||
| No formal education | 00 | 09 | 09 |
| Class 1 to 4 | 05 | 02 | 07 |
| Class 5 to 9 | 10 | 08 | 18 |
| Class 10 and above | 05 | 01 | 06 |
| Total | 20 | 20 | 40 |
| Occupation | |||
| Housewife | 01 | 02 | 03 |
| Agriculture | 01 | 02 | 03 |
| Driver | 01 | 04 | 05 |
| Business | 06 | 04 | 10 |
| Rickshaw Puller | 01 | 01 | 02 |
| Unemployed | 01 | 01 | 02 |
| Retired | 01 | 00 | 01 |
| Carpenter | 01 | 00 | 01 |
| Service | 05 | 00 | 05 |
| Mason | 01 | 00 | 01 |
| Mechanic | 01 | 00 | 01 |
| Garment worker | 00 | 02 | 02 |
| Private job | 00 | 03 | 03 |
| Housemaid | 00 | 01 | 01 |
| Total | 20 | 20 | 40 |
Fig 2Different voices from different stakeholders