Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries

BMC Health Services Research

Japhet Kombo¹  Godfrey Mbaruku¹  John Mathias Bakuza¹  Josephine Shabani¹  Anna Wisiko¹  Alodear Patrick Kitende¹  Donat Shamba¹  Kizito Shirima¹  Marystella Revocatus Shirati¹  Christostomus Chingalo¹  Nahya Salim²  Ashish K.C.³  Rabina Karki⁴  Sabu Thapa⁴  Asmita Poudel⁴  Priyanka Chaudhary⁴  Bibek Chitrakar⁴  Omkar Basnet⁴  Elisha Joshi⁵  Ahmed Ehsanur Rahman⁶  Tazeen Tahsina⁶  Shafiqul Ameen⁶  Tanvir Hossain⁶  Shams El Arifeen⁶  Sojib Bin Zaman⁶  Qazi Sadeq-ur Rahman⁶  Hannah Blencowe⁷  Georgia R. Gore-Langton⁷  Louise Tina Day⁷  Joy E. Lawn⁷  Dorothy Boggs⁷  Harriet Ruysen⁷  Vladimir S. Gordeev⁸  Amina Omari Semhando⁹  Cleopatra Mtei⁹  Namala Mkopi^1,10  Victoria Mwenisongole^1,11  Rajendra Prasad Poudel^1,12  Durga Poudel^1,12 

[1] Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania;Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania;Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania;Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden;Golden Community, Lalitpur, Nepal;LifeLine Nepal, Baneshwor, Kathmandu, Nepal;Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh;Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK;Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene and Tropical Medicine, London, UK;Institute of Population Health Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK;Muhimbili National Hospital (MNH), Dar es Salaam, Tanzania;Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania;Muhimbili National Hospital (MNH), Dar es Salaam, Tanzania;Temeke Regional Referral Hospital, Dar es Salaam, Tanzania;Yagiten Pvt Ltd, Kathmandu, Nepal;

关键词: Maternal;    Newborn;    Stillbirth;    Registers;    Birth;    Hospital;    Routine Health Management Information Systems;    Measurement;    Indicators;   

DOI  :  10.1186/s12913-020-5028-7

来源: Springer

【 摘 要 】

BackgroundCountries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. This paper forms the baseline register assessment for the Every Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study.MethodsWe extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. The study sites were five public hospitals during a one-year period (2016–17). We measured 1) availability: completeness of data elements by register design, 2) data quality: implausibility, internal consistency, and heaping of birthweight and explored 3) utility by calculating selected MNH indicators using the available data.ResultsData were extracted for 20,075 births. Register design was different between the five hospitals with 10–17 of the 21 selected MNH data elements available. More data were available for health outcomes than interventions. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Birthweight data were less complete for stillbirths than live births at two hospitals, and significant heaping was found in all sites, especially at 2500g and 3000g. All five hospitals recorded count data required to calculate impact indicators including; stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates.ConclusionsData needed to calculate MNH indicators are mostly available and highly complete in EN-BIRTH study hospital routine labour ward registers in Bangladesh, Nepal and Tanzania. Register designs need to include interventions for coverage measurement. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth.

【 授权许可】

CC BY