Data for: "How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania."

Ruysen, H, Majid, T, Shamba, D, Mhajabin, S, Minja, J, Rahman, AE, Ngopi, T, Ramesh, M, Arifeen, SE, Steege, R, Seeley, J, Lawn, JE, Day, LT and EN-BIRTH 2, SG. 2024. Data for: "How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania.". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00004357.

Ruysen, H, Majid, T, Shamba, D, Mhajabin, S, Minja, J, Rahman, AE, Ngopi, T, Ramesh, M, Arifeen, SE, Steege, R, Seeley, J, Lawn, JE, Day, LT and EN-BIRTH 2, SG. Data for: "How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania." [Internet]. London School of Hygiene & Tropical Medicine; 2024. Available from: https://doi.org/10.17037/DATA.00004357.

Ruysen, H, Majid, T, Shamba, D, Mhajabin, S, Minja, J, Rahman, AE, Ngopi, T, Ramesh, M, Arifeen, SE, Steege, R, Seeley, J, Lawn, JE, Day, LT and EN-BIRTH 2, SG (2024). Data for: "How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania.". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00004357.

Description

This qualitative research was undertaken within a mixed methods study that developed and tested tools to improve the availability, quality, and use of newborn and stillbirth indicators in Routine Health Information Systems (RHIS); the Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools. The transcripts are from 79 in-depth interviews in Bangladesh (n=44, 1st Sept-21st Dec 2020) and Tanzania (n=35, 21st Feb- 30th April 2023) using a semi-structured interview guide. The guide was adapted from the 'Assessing Barriers to Data Demand and Use in the Health Sector' tool (Measure Evaluation, 2018). In Bangladesh, district and facility-level participants were selected from both Directorates (DGFP and DGHS) in Kushtia district. The sampling frame included district-level offices (2), Upazilla-level office (1), district hospitals (2), Upazilla health complexes (5), Union sub-centres (3), community clinics (2). In addition to national-level offices (2) for DGFP and DGHS. In Tanzania, district and facility-level participants were selected from two districts in Tanga Region: the sampling frame included district-level offices (2), hospitals (2), health centres (4), and dispensaries (4). As well as the regional and national offices (2).

Additional information

Interviews explore participants' unique knowledge and experience of routine data recording and use in labour wards and operating theatres as part of public healthcare service provision around the time of birth (in Bangladesh and Tanzania). This richness of information is essential for the research, but increases the risk of participant recognition through indirect identifiers. To protect participant confidentiality, transcripts are available through controlled access. Interested researchers are invited to complete the request form. Applications will be reviewed by the study team, in conjunction with the research ethics committees at the International Centre for Diarrhoeal Research, Bangladesh (icddr,b), Ifakara Health Institute, Tanzania, and the London School of Hygiene & Tropical Medicine (LSHTM), United Kingdom. To support this request, applicants are asked to provide the associated research protocol and evidence of ethics approval for their study. If approved, applicants will be required to sign a Data Transfer Agreement (DTA) to ensure that participant confidentiality is maintained in accordance with the study’s original ethical approvals.

Methods

Description of data capture

Transcripts from 79 in-depth interviews in Bangladesh (n=44, 1st Sept-21st Dec 2020) and Tanzania (n=35, 21st Feb- 30th April 2023) using a semi-structured interview guide. The guide was adapted from the 'Assessing Barriers to Data Demand and Use in the Health Sector' tool (Measure Evaluation, 2018).

Data capture method

Interview: Face-to-face

Data Collection Period

From	To
1 September 2020	30 April 2023

Date (Date submitted to LSHTM repository)

11 October 2024

Language(s) of written materials

English

People & Groups

Data Creators	Ruysen, H, Majid, T, Shamba, D, Mhajabin, S, Minja, J, Rahman, AE, Ngopi, T, Ramesh, M, Arifeen, SE, Steege, R, Seeley, J, Lawn, JE, Day, LT and EN-BIRTH 2, SG
Associated roles	Ruysen, H (Co-Investigator), Majid, T (Co-Investigator), Shamba, D (Co-Investigator), Mhajabin, S (Co-Investigator), Minja, J (Data Collector), Rahman, AE (Principal Investigator), Ngopi, T (Data Collector), Ramesh, M (Data Collector), Arifeen, SE (Principal Investigator), Steege, R (Supervisor), Steeley, J (Supervisor), Lawn, JE (Supervisor) and Day, LT (Principal Investigator)
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-)
Research Centre	Centre for Maternal, Reproductive and Child Health (MARCH)
Research Group	Maternal and Newborn Health Group
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom, University of North Carolina via Data 4 Impact (D4I), icddr,b, Dhaka, Bangladesh, Ifakara Health Institute, Ifakara, Tanzania