The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development
The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also com...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Global Health Action |
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| Online Access: | http://dx.doi.org/10.1080/16549716.2024.2392352 |
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| author | Catherine Arsenault Katherine Wright Tefera Taddele Ashenif Tadele Anagaw Derseh Mebratie Firew Tiruneh Tiyare Rose J. Kosgei Jacinta Nzinga Bethany Holt Irene Mugenya Emma Clarke-Deelder Adiam Nega Dorairaj Prabhakaran Sailesh Mohan Nompumelelo Gloria Mfeka-Nkabinde Londiwe Mthethwa Damen Haile Mariam Gebeyaw Molla Theodros Getachew Prashant Jarhyan Monica Chaudhry Munir Kassa Margaret E. Kruk |
| author_facet | Catherine Arsenault Katherine Wright Tefera Taddele Ashenif Tadele Anagaw Derseh Mebratie Firew Tiruneh Tiyare Rose J. Kosgei Jacinta Nzinga Bethany Holt Irene Mugenya Emma Clarke-Deelder Adiam Nega Dorairaj Prabhakaran Sailesh Mohan Nompumelelo Gloria Mfeka-Nkabinde Londiwe Mthethwa Damen Haile Mariam Gebeyaw Molla Theodros Getachew Prashant Jarhyan Monica Chaudhry Munir Kassa Margaret E. Kruk |
| author_sort | Catherine Arsenault |
| collection | DOAJ |
| description | The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries. |
| format | Article |
| id | doaj-art-8f866349c10c46f0a9adff635e4b7396 |
| institution | Kabale University |
| issn | 1654-9880 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Global Health Action |
| spelling | doaj-art-8f866349c10c46f0a9adff635e4b73962025-02-05T12:46:14ZengTaylor & Francis GroupGlobal Health Action1654-98802024-12-0117110.1080/16549716.2024.23923522392352The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey developmentCatherine Arsenault0Katherine Wright1Tefera Taddele2Ashenif Tadele3Anagaw Derseh Mebratie4Firew Tiruneh Tiyare5Rose J. Kosgei6Jacinta Nzinga7Bethany Holt8Irene Mugenya9Emma Clarke-Deelder10Adiam Nega11Dorairaj Prabhakaran12Sailesh Mohan13Nompumelelo Gloria Mfeka-Nkabinde14Londiwe Mthethwa15Damen Haile Mariam16Gebeyaw Molla17Theodros Getachew18Prashant Jarhyan19Monica Chaudhry20Munir Kassa21Margaret E. Kruk22George Washington UniversityHarvard T.H. Chan School of Public HealthEthiopian Public Health InstituteEthiopian Public Health InstituteAddis Ababa UniversityEthiopian Public Health InstituteUniversity of NairobiKEMRI Wellcome Trust Research ProgramHarvard Medical SchoolKEMRI Wellcome Trust Research ProgramSwiss Tropical & Public Health InstituteAddis Ababa UniversityPublic Health Foundation of IndiaPublic Health Foundation of IndiaUniversity of KwaZulu-NatalUniversity of KwaZulu-NatalAddis Ababa UniversityEthiopian Public Health InstituteEthiopian Public Health InstitutePublic Health Foundation of IndiaPublic Health Foundation of IndiaMinistry of Health of EthiopiaHarvard T.H. Chan School of Public HealthThe MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries.http://dx.doi.org/10.1080/16549716.2024.2392352health system qualitymaternal and newborn healthimplementation scienceevidence-based carequality of care |
| spellingShingle | Catherine Arsenault Katherine Wright Tefera Taddele Ashenif Tadele Anagaw Derseh Mebratie Firew Tiruneh Tiyare Rose J. Kosgei Jacinta Nzinga Bethany Holt Irene Mugenya Emma Clarke-Deelder Adiam Nega Dorairaj Prabhakaran Sailesh Mohan Nompumelelo Gloria Mfeka-Nkabinde Londiwe Mthethwa Damen Haile Mariam Gebeyaw Molla Theodros Getachew Prashant Jarhyan Monica Chaudhry Munir Kassa Margaret E. Kruk The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development Global Health Action health system quality maternal and newborn health implementation science evidence-based care quality of care |
| title | The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development |
| title_full | The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development |
| title_fullStr | The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development |
| title_full_unstemmed | The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development |
| title_short | The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development |
| title_sort | maternal and newborn health ecohort to track longitudinal care quality study protocol and survey development |
| topic | health system quality maternal and newborn health implementation science evidence-based care quality of care |
| url | http://dx.doi.org/10.1080/16549716.2024.2392352 |
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