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

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Interview-transcripts.txt

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Interview_Guides.docx

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Consent_forms_EN.docx

documentation indefinite Participant information and consent forms for Tanzania and Bangladesh 16520 1 92075 document 16520 indexcodes.txt text/plain 546e7a19692232381704b0821fdd042ad34857280e39a9ce31af67db68e315e9 SHA256 50 2024-10-11 12:13:32 https://datacompass.lshtm.ac.uk/id/eprint/4357/4/indexcodes.txt 4357 4 4 text/plain en staffonly

indexcodes.txt

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indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/16517 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/16517 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/16517 indefinite Generate index codes conversion from Text to indexcodes 16522 1 92077 document 16522 indexcodes.txt text/plain 0c9b95a9d9bc796f4bb565e6fa8ad92b49fa2cd8084463903b29dd3562c4144a SHA256 3085 2024-10-11 12:13:32 https://datacompass.lshtm.ac.uk/id/eprint/4357/6/indexcodes.txt 4357 6 6 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/16518 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/16518 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/16518 indefinite Generate index codes conversion from Text to indexcodes archive 138 disk0/00/00/43/57 2024-10-11 17:18:37 2025-07-25 13:48:27 2024-10-11 17:18:37 data_collection show Ruysen Harriet 0000-0003-3559-0680 TRUE 67e55d1b6123430e420915daf4c2fd9a Majid Tamanna FALSE Shamba Donat TRUE Mhajabin Shema FALSE Minja Jacqueline FALSE Rahman Ahmed E FALSE Ngopi Titus FALSE Ramesh Mary FALSE Arifeen Shams El FALSE Steege Rosie 0000-0003-2120-649X TRUE 591337c253d0531b67ee93f12b0fbbea Seeley Janet 0000-0002-0583-5272 TRUE ac3a8b7f85d230573efca352477196b8 Lawn Joy E. 0000-0002-4573-1443 TRUE e784c3d5f93e4fbe55c11a28ded32c55 Day Louise Tina 0000-0002-0038-0002 TRUE 96facea31b49390047292994d790fa68 EN-BIRTH 2 Study Group FALSE CoInvestigator Ruysen Harriet 0000-0003-3559-0680 TRUE CoInvestigator Majid Tamanna FALSE CoInvestigator Shamba Donat FALSE CoInvestigator Mhajabin Shema FALSE DataCollector Minja Jacqueline FALSE PrincipalInvestigator Rahman Ahmed E FALSE DataCollector Ngopi Titua FALSE DataCollector Ramesh Mary FALSE PrincipalInvestigator Arifeen Shams El FALSE Supervisor Steege Rosie 0000-0003-2120-649X TRUE 591337c253d0531b67ee93f12b0fbbea Supervisor Steeley Janet FALSE Supervisor Lawn Joy E. 0000-0002-4573-1443 TRUE e784c3d5f93e4fbe55c11a28ded32c55 PrincipalInvestigator Day Louise Tina 0000-0002-0038-0002 TRUE 96facea31b49390047292994d790fa68 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 Data for: "How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania." EPIH Routine Health information systems Caesarean Section Intrapartum Maternal and newborn health Midwifery Bangladesh Tanzania 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. 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). 2024-10-11 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00004357 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom icddr,b, Dhaka, Bangladesh Ifakara Health Institute, Ifakara, Tanzania XMCH Maternal and Newborn Health Group Interview.FaceToFace 177 2392 UWB EI restricted London, United Kingdom United States Agency for International Development EN-BIRTH 2 Dataset Qualitative 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). EPIDZS7110 en 2020-09-01 2023-04-30 The EN-MINI Tools https://www.data4impactproject.org/resources/en-mini-tools/ project EN-BIRTH 2 United States Agency for International Development EPIDZS7110 http://dx.doi.org/10.13039/100000200 2024-10-11