Informing prevention of stillbirth and preterm birth in Malawi: development of a minimum dataset for health facilities participating in the DIPLOMATIC collaboration. Issue 11 (24th November 2020)

• Record Type: Journal Article
• Authors: von Wissmann, Beatrix; Wastnedge, Elizabeth; Waters, Donald; Gadama, Luis A; Dube, Queen; Masesa, Clemens; Chodzaza, Elizabeth; Stock, Sarah Jane; Reynolds, Rebecca M; Norrie, John; Makwakwa, Enita; Freyne, Bridget; Campbell, Harry; Norman, Jane E; Wood, Rachael
• Other Names: author non-byline.; Bamuya Catherine author non-byline.; Banda Esmie author non-byline.; Boardman James author non-byline.; Chipeta Effie author non-byline.; Crampin Mia author non-byline.; Burley Sarah Cunningham author non-byline.; Kabamba Jean Desire author non-byline.; Grant Elizabeth author non-byline.; Martin Caroline Hollins author non-byline.; Holloway Aisha author non-byline.; Kawaza Khondwhani author non-byline.; Kayambo Doris author non-byline.; Love Corrine author non-byline.; Magowan Brian author non-byline.; Malata Monica author non-byline.; Masamba Martha author non-byline.; Mazanderani Fadhila author non-byline.; Gadama Gladys Membe- author non-byline.; Mkandawire Catherine author non-byline.; Munthali Patricia author non-byline.; Mwaba Peter author non-byline.; Namisengo Shakira author non-byline.; Njelesani Everist author non-byline.; Nyondo-Mipando Linda author non-byline.; Pinnock Hilary author non-byline.; Syacumpi Muriel author non-byline.; Taulo Frank author non-byline.; Viner Alexandra author non-byline.
• Is Part Of: BMJ open. Volume 10:Issue 11(2020)
• Publication Date: 2020-11-24
• Subjects: information management -- international health services -- quality in health care -- neonatology -- obstetrics; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2020-038859
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objective: The global research group, DIPLOMATIC (Using eviDence, Implementation science, and a clinical trial PLatform to Optimise MATernal and newborn health in low Income Countries), aims to reduce stillbirths and preterm births and optimise outcomes for babies born preterm. Minimum datasets for routine data collection in healthcare facilities participating in DIPLOMATIC (initially in Malawi) were designed to assist understanding of baseline maternal and neonatal care processes and outcomes, and facilitate evaluation of improvement interventions and pragmatic clinical trials. Design: Published and grey literature was reviewed alongside extensive in-country consultation to define relevant clinical best practice guidance, and the existing local data and reporting infrastructure, to identify requirements for the minimum datasets. Data elements were subjected to iterative rounds of consultation with topic experts in Malawi and Scotland, the relevant Malawian professional bodies and the Ministry of Health in Malawi to ensure relevance, validity and feasibility. Setting: Antenatal, maternity and specialist neonatal care in Malawi. Results: The resulting three minimum datasets cover the maternal and neonatal healthcare journey for antenatal, maternity and specialist neonatal care, with provision for effective linkage of records for mother/baby pairs. They can facilitate consistent, precise recording of relevant outcomes (stillbirths, preterm births, neonatal deaths), risk factors and key care processes. Conclusions: Poor quality routine data on care processes and outcomes constrain healthcare system improvement. The datasets developed for implementation in DIPLOMATIC partner facilities reflect, and hence support delivery of, internationally agreed best practice for maternal and newborn care in low-income settings. Informed by extensive consultation, they are designed to integrate with existing local data infrastructure and reporting as well as meeting research data needs. This work provides a transferable example of strengthening data infrastructure to underpin a learning healthcare system approach in low-income settings. DIPLOMATIC is funded by the UK National Institute for Health Research.